HLIBpro  3.0
Common Types and Functions

Classes

struct  hpro_
 
union  acc_u
 

Typedefs

typedef union hpro_ acc_u acc_t
 
typedef void(* hpro_) (const int errcode, const char *errmsg)
 

Enumerations

enum  hpro_ {
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N'
}
 
enum  hpro_ {
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N'
}
 
enum  hpro_ {
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N'
}
 
enum  hpro_ {
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N'
}
 
enum  hpro_ {
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N'
}
 
enum  hpro_ {
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N'
}
 
enum  { HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' }
 
enum  {
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' ,
  HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N'
}
 
enum  { HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' , HPRO_CONST_PF =(MATOP_NORM) = 'N' }
 

Functions

void hpro_ init (int *info)
 
void hpro_ done (int *info)
 
int hpro_ is_init ()
 
void hpro_ error_desc (char *desc, const size_t size)
 

Coordinates

hpro_ coord_t hpro_ coord_import (const size_t n, const unsigned int dim, double **coord, const double *period, int *info)
 
size_t hpro_ coord_ncoord (const hpro_ coord_t coord, int *info)
 
unsigned int hpro_ coord_dim (const hpro_ coord_t coord, int *info)
 
double *hpro_ coord_get (const hpro_ coord_t coord, const size_t i, int *info)
 
double *hpro_ coord_bbmin (const hpro_ coord_t coord, const size_t i, int *info)
 
double *hpro_ coord_bbmax (const hpro_ coord_t coord, const size_t i, int *info)
 
int hpro_ coord_has_bbox (const hpro_ coord_t coord, int *info)
 
void hpro_ coord_set_period (hpro_ coord_t coord, const double period[], int *info)
 
void hpro_ coord_get_period (hpro_ coord_t coord, double period[], int *info)
 
void hpro_ coord_free (hpro_ coord_t coord, int *info)
 
size_t hpro_ coord_bytesize (const hpro_ coord_t coord, int *info)
 
void hpro_ coord_print_vrml (const hpro_ coord_t coord, const char *filename, int *info)
 
void hpro_ coord_print_vtk (const hpro_ coord_t coord, const char *filename, int *info)
 

Admissibility condition

hpro_ admcond_t hpro_ admcond_geom (const hpro_ adm_t crit, const double eta, int *info)
 
hpro_ admcond_t hpro_ admcond_geom_period (const hpro_ adm_t crit, const double eta, const double *period, const unsigned int dim, int *info)
 
void hpro_ admcond_free (const hpro_ admcond_t ac, int *info)
 

Clusters

Nodes and sub trees in a cluster tree.

int hpro_ cl_first (const hpro_ cluster_t cl, int *info)
 
int hpro_ cl_last (const hpro_ cluster_t cl, int *info)
 
size_t hpro_ cl_size (const hpro_ cluster_t cl, int *info)
 
size_t hpro_ cl_nsons (const hpro_ cluster_t cl, int *info)
 
hpro_ cluster_t hpro_ cl_son (const hpro_ cluster_t cl, const unsigned int i, int *info)
 
int hpro_ cl_is_leaf (const hpro_ cluster_t cl, int *info)
 
size_t hpro_ cl_nnodes (const hpro_ cluster_t cl, int *info)
 
size_t hpro_ cl_depth (const hpro_ cluster_t cl, int *info)
 
hpro_ cluster_t hpro_ cl_copy (const hpro_ cluster_t cl, int *info)
 
void hpro_ cl_free (hpro_ cluster_t cl, int *info)
 
size_t hpro_ cl_bytesize (const hpro_ cluster_t cl, int *info)
 
void hpro_ cl_print_ps (const hpro_ cluster_t cl, const char *filename, int *info)
 

Cluster Trees

Root of a cluster tree with stored index permutations.

hpro_ clustertree_t hpro_ clt_build_bsp (const hpro_ coord_t coord, const hpro_ bsp_t bsptype, const unsigned int nmin, int *info)
 
hpro_ clustertree_t hpro_ clt_build_bsp_part (const hpro_ coord_t coord, const unsigned int *partition, const int eq_depth, const hpro_ bsp_t bsptype, const unsigned int nmin, int *info)
 
hpro_ cluster_t hpro_ clt_root (hpro_ clustertree_t ct, int *info)
 
hpro_ permutation_t hpro_ clt_perm_i2e (hpro_ clustertree_t ct, int *info)
 
hpro_ permutation_t hpro_ clt_perm_e2i (hpro_ clustertree_t ct, int *info)
 
void hpro_ clt_free (hpro_ clustertree_t ct, int *info)
 
size_t hpro_ clt_bytesize (const hpro_ clustertree_t ct, int *info)
 
size_t hpro_ clt_nnodes (const hpro_ clustertree_t ct, int *info)
 
size_t hpro_ clt_depth (const hpro_ clustertree_t ct, int *info)
 
void hpro_ clt_print_ps (const hpro_ clustertree_t ct, const char *filename, int *info)
 

Block Clusters

Nodes and sub trees of block cluster trees.

hpro_ blockcluster_t hpro_ bc_parent (const hpro_ blockcluster_t bc, int *info)
 
size_t hpro_ bc_nsons (const hpro_ blockcluster_t bc, int *info)
 
hpro_ blockcluster_t hpro_ bc_son (const hpro_ blockcluster_t bc, const unsigned int i, const unsigned int j, int *info)
 
int hpro_ bc_is_leaf (const hpro_ blockcluster_t bc, int *info)
 
int hpro_ bc_is_adm (const hpro_ blockcluster_t bc, int *info)
 
size_t hpro_ bc_nnodes (const hpro_ blockcluster_t bc, int *info)
 
size_t hpro_ bc_depth (const hpro_ blockcluster_t bc, int *info)
 
hpro_ cluster_t hpro_ bc_rowcl (const hpro_ blockcluster_t bc, int *info)
 
hpro_ cluster_t hpro_ bc_colcl (const hpro_ blockcluster_t bc, int *info)
 
hpro_ blockcluster_t hpro_ bc_copy (const hpro_ blockcluster_t bc, int *info)
 
void hpro_ bc_free (hpro_ blockcluster_t bc, int *info)
 
size_t hpro_ bc_bytesize (const hpro_ blockcluster_t bc, int *info)
 
int hpro_ bc_csp (const hpro_ blockcluster_t bc, int *info)
 
void hpro_ bc_print_ps (const hpro_ blockcluster_t bc, const char *filename, int *info)
 

Block Cluster Trees

Root of block cluster trees with access to index permutations.

hpro_ blockclustertree_t hpro_ bct_build (const hpro_ clustertree_t rowct, const hpro_ clustertree_t colct, const hpro_ admcond_t ac, int *info)
 
size_t hpro_ bct_nnodes (const hpro_ blockclustertree_t bct, int *info)
 
size_t hpro_ bct_depth (const hpro_ blockclustertree_t bct, int *info)
 
hpro_ clustertree_t hpro_ bct_rowct (const hpro_ blockclustertree_t bct, int *info)
 
hpro_ clustertree_t hpro_ bct_colct (const hpro_ blockclustertree_t bct, int *info)
 
void hpro_ bct_free (hpro_ blockclustertree_t bct, int *info)
 
size_t hpro_ bct_bytesize (const hpro_ blockclustertree_t bct, int *info)
 
void hpro_ bct_distribute_block (hpro_ blockclustertree_t bct, const unsigned int p, const unsigned int min_lvl, const int symmetric, int *info)
 
int hpro_ bct_csp (const hpro_ blockclustertree_t bct, int *info)
 
void hpro_ bct_print_ps (const hpro_ blockclustertree_t bct, const char *filename, int *info)
 

Solver

hpro_ solver_t hpro_ solver_auto (int *info)
 
hpro_ solver_t hpro_ solver_linear_iteration (int *info)
 
hpro_ solver_t hpro_ solver_richardson (int *info)
 
hpro_ solver_t hpro_ solver_cg (int *info)
 
hpro_ solver_t hpro_ solver_cgs (int *info)
 
hpro_ solver_t hpro_ solver_bicgstab (int *info)
 
hpro_ solver_t hpro_ solver_tfqmr (int *info)
 
hpro_ solver_t hpro_ solver_minres (int *info)
 
hpro_ solver_t hpro_ solver_gmres (const int restart, int *info)
 
void hpro_ solver_stopcrit (hpro_ solver_t solver, const int maxit, const double abs_red, const double rel_red, int *info)
 
void hpro_ solver_initialise_start_value (hpro_ solver_t solver, const int flag, int *info)
 
void hpro_ solver_use_exact_residual (hpro_ solver_t solver, const int flag, int *info)
 
void hpro_ solver_free (hpro_ solver_t solver, int *info)
 

Input/Output

hpro_ coord_t hpro_ hformat_load_coord (const char *filename, int *info)
 
void hpro_ hformat_save_coord (const hpro_ coord_t coord, const char *filename, int *info)
 
void hpro_ samg_save_coord (const hpro_ coord_t coord, const char *filename, int *info)
 
hpro_ coord_t hpro_ samg_load_coord (const char *filename, int *info)
 
hpro_ coord_t hpro_ load_coord (const char *filename, int *info)
 

Accuracy Management

hpro_ acc_t hpro_ acc_fixed_eps (const double eps)
 
hpro_ acc_t hpro_ acc_fixed_rank (const unsigned int k)
 
hpro_ acc_t hpro_ acc_blocked (const hpro_ acc_t *blockacc)
 

Misc.

double hpro_ walltime ()
 
double hpro_ cputime ()
 
void hpro_ set_n_min (const unsigned int n)
 
void hpro_ set_verbosity (const unsigned int verb)
 
void hpro_ set_abs_eps (const double eps)
 
void hpro_ set_coarsening (const int build, const int arith)
 
void hpro_ set_recompress (const int recompress)
 
void hpro_ set_diag_scale (const int scale)
 
void hpro_ set_nthreads (const unsigned int p)
 
void hpro_ set_progress_cb (hpro_ progressfn_t fn, void *arg)
 
void hpro_ set_config (const char *option, const char *value, int *info)
 
void hpro_ get_config (const char *option, char *value, const size_t len, int *info)
 
void hpro_ print_parameters ()
 
void hpro_ set_error_fn (const hpro_ errorfn_t errorfn)
 
void hpro_ set_warning_fn (const hpro_ errorfn_t warnfn)
 
unsigned int hpro_ major_version ()
 
unsigned int hpro_ minor_version ()
 

Detailed Description

Types and Functions common to (or independent of) all value types.

Typedef Documentation

◆ acc_t

typedef union hpro_ acc_u acc_t

general accuracy description type

◆ hpro_

typedef void(* hpro_)(const double *values, int *cancel, void *arg)

error/warning handler function types

callback function for progress information

Enumeration Type Documentation

◆ anonymous enum

anonymous enum

matrix printing options (can be combined)

Enumerator
HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

◆ anonymous enum

anonymous enum

list of error codes

Enumerator
HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

◆ anonymous enum

anonymous enum

fields in value array progress bar callback function

Enumerator
HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

◆ hpro_ [1/6]

enum hpro_

defines operation on matrices

Enumerator
HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

◆ hpro_ [2/6]

enum hpro_

partitioning algorithms for binary sparse partitioning

Enumerator
HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

◆ hpro_ [3/6]

enum hpro_

partitioning algorithms for algebraic clustering

Enumerator
HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

◆ hpro_ [4/6]

enum hpro_

admissibility criteria

Enumerator
HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

print singular value decomposition in each block

print each entry of matrix

print sparsity pattern (non-zero entries)

no error occured

not initialised

invalid license

functionality not implemented

general consistency error

communication error

permission denied

general exception error

data is real valued

data is not real valued

data is complex valued

data is not complex valued

invalid mixing of real and complex data

division by zero

sqrt of negative number

infinity occured

not-a-number occured

iteration did not converge

error with argument

insufficient memory available

null pointer encountered

size of data incorrect

invalid or incompatible dimension

out-of-bound error in array

entry is not on diagonal

invalid coordinates

invalid cluster tree

wrong type of cluster tree

invalid structure of cluster tree

given cluster trees are incompatible

missing sparse matrix for given cluster tree

invalid block cluster tree

invalid block cluster tree structure

invalid vector

wrong vector type

invalid vector structure

invalid size of vector

vector with incompatible dimension

vector is not a scalar vector

invalid matrix type

invalid structure of matrix

invalid size of matrix

singular matrix detected

matrix not a sparse matrix

matrix not a dense matrix

matrix not an H-matrix

matrices with incompatible type

matrices with incompatible cluster tree

invalid matrix

matrix not symmetric

matrix not hermitian

matrix not positiv definite

error while parsing HLIBpro format

error while parsing SAMG format

error while parsing Matlab format

error while parsing PLTMG format

error while parsing Harwell Boeing format

error while parsing Matrix Market format

error while parsing Ply format

invalid format of grid file

invalid data in grid file

could not open file

could not close file

could not write to file

could not read from file

could not seek in file

file does not exists

size of bytestream too small

error while writing to bytestream

error while reading from bytestream

type error in bytestream

general data error in bytestream

no zlib support compiled in

error during zlib uncompression

no METIS support compiled in

no Scotch support compiled in

error in call to Scotch function

no Chaco support compiled in

no libGraph support compiled in

no FFTW3 support compiled in

no Cairo support compiled in

no HDF5 support compiled in

no Mongoose support compiled in

error in call to MPI function

invalid solver

invalid low-rank approximation type

invalid grid

invalid function space

minimal value of progress bar

maximal value of progress bar

current value of progress bar

HPRO_CONST_PF 

normal matrix, no modification

transposed matrix

adjoint operator: transpose (real) or conjugate transpose (complex)

automatic choice

geometrically balanced clustering

w.r.t. maximal dimension or regularly

cardinality balanced clustering

clustering based on principle component

BFS graph partitioning

MultiLevel graph partitioning

METIS library

SCOTCH library

automatically decide suitable adm. condition

standard admissibility with min. of diameters

standard admissibility with max. of diameters

weak admissibility

fixed accuracy for all blocks

fixed rank for all blocks

different accuracy for one block level

arbitrary accuracy description

use singular value decomposition

use adaptive cross approximation

use advanced adaptive cross approximation

use adaptive cross approximation with
full pivot search

use hybrid cross approximation

build empty low-rank blocks (nearfield only)

use randomized SVD

uses rank revealing QR

pri