HLIBpro  2.1
Public Member Functions | Public Attributes | List of all members
TLDL Class Reference

computes LDL factorisation $ A = LDL^T $ or $ A = LDL^H $ More...

#include <mat_fac.hh>

Public Member Functions

void factorise (TMatrix *A, const TTruncAcc &acc) const
 
TLinearOperatoreval_matrix (TMatrix *A, const matform_t matform) const
 
TLinearOperatorinv_matrix (TMatrix *A, const matform_t matform) const
 
void split (const TMatrix *A, TMatrix *&L, TMatrix *&D, const eval_type_t eval_type) const
 
size_t pm_steps (const TMatrix *A) const
 return number of factorisation steps for A for progress meter
 

Public Attributes

 __pad0__: _options( opts ) {} ~TLDL () {} void set_options ( const fac_options_t opts ) { _options = opts
 standard constructor with optional LDL settings
 

Detailed Description

This class computes the LDL factorisation $A = LDL^T$ ( $A = LDL^H$) of a symmetric (hermitian) matrix $A$ with lower, unit triangular matrix $L$ and diagonal matrix $D$.

The factorisation may be either point wise, i.e. a real LU factorisation, or block wise in which case, dense diagonal matrix blocks are inverted.

Support for multiple threads is available, although the expectable speedup is limited, e.g. best suited for at most 4 threads.

Member Function Documentation

TLinearOperator* eval_matrix ( TMatrix A,
const matform_t  matform 
) const

return suitable representation for evaluating factors L and U

Parameters
ALDL factors to be represented
matformformat of original, non-factorised matrix
void factorise ( TMatrix A,
const TTruncAcc acc 
) const

compute LDL factorisation of given matrix

Parameters
Aon input matrix to factorise; on output factors L and D
accaccuracy of factorisation
TLinearOperator* inv_matrix ( TMatrix A,
const matform_t  matform 
) const

return suitable inverse representation of factors L and U

Parameters
ALDL factors to be represented
matformformat of original, non-factorised matrix
void split ( const TMatrix A,
TMatrix *&  L,
TMatrix *&  D,
const eval_type_t  eval_type 
) const

split given matrix A into individual factors L and D

Parameters
Ajoined LDL factors
Lmatrix pointer to store factor L
Dmatrix pointer to store factor D
eval_typedetermines block-wise or point-wise evaluation