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Academic License (Universities, etc.)

HLIBpro is free of charge for academic purposes. Please read the license agreement before proceeding with the download.

File OS Size MD5
v2.7
HLIBpro library Linux GCC 5,6,... 6.201 kB 093c72e752bed497dc51f546b033405b
HLIBpro auxiliary libraries Linux GCC 5,6,... 24.385 kB 09478b78145f9d3e5c1e5a37828e905f
HLIBpro library Linux GCC 4 6.398 kB bef4e45fa0d5d555f40737c699b374e2
HLIBpro auxiliary libraries Linux GCC 4 24.355 kB f6fb725f0afe88de0bb1bdb1ca4808d7
HLIBpro library MacOSX 4.574 kB 7ae28611562d4081792ebbdb4bada6e4
HLIBpro documentation all 16.080 kB 9078bce2aa99d8a83576318f2deb6e84
v2.6
HLIBpro library Linux GCC 4 6.398 kB 607430972392c811f1b031ecc38c12a6
HLIBpro auxiliary libraries Linux GCC 4 24.355 kB ea164b0bbd986e71dd53fb3796796c3b
HLIBpro library Linux GCC 5,6,... 6.201 kB d1eba7478602952a6056446e8ea9530d
HLIBpro auxiliary libraries Linux GCC 5,6,... 24.385 kB 766e6b6767efb6e187bfb9ba373044d1
HLIBpro library MacOSX 4.574 kB cd90bfec5e2fd8aefca8a91bbec1588e
HLIBpro documentation all 16.083 kB 2af81ca388c52d0ef9facb5d67ae6385

Commercial License

Please send your license request directly to

rok@hlibpro.com

Dr. Ronald Kriemann
Max-Planck-Institut für Mathematik in den Naturwissenschaften
Inselstr 22
04103 Leipzig
Germany

Data Files

Grids

Below are some grid files which may be used together with the BEM examples. You may also use grids supplied in PLY, SurfaceMesh, GMSHv2 or the original HLIB format (please note, that HLIBpro now has grid generation features).

  • Sphere (1199 vertices, 2394 triangles)
  • Cube (1538 vertices, 3072 triangles)

Matrices

The matrices below are examples for the sparsealg examples. They correspond to a convection-diffusion problem with circular convection. Sparse matrices in Matlab, MatrixMarket, Harwell/Boeing or SAMG format may also be used. For more examples, please refer to the UF Sparse Matrix Collection.

  • mat2d (2D Problem, 3969 unknowns)
  • mat3d (3D Problem, 3375 unknowns)

Loglikelihood Data Set

An example data set for the loglikelihood example can be downloaded here.