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  • 2.9
  • Debian 10 7.2 MB 31596e9fb39077d3ef6631c7d0f13965
    Debian 9 7.4 MB 0dfc2072fc9f40b53c66855e348aa9af
    Ubuntu 20.04 7.7 MB 75d77cc782fb6812c9b95150710c0a62
    Ubuntu 18.04 7.1 MB cc4443b2b2492ecfc642b26feeffa47f
    Ubuntu 16.04 7.4 MB dddbe7b78834c24cdaeff9c36aec287f
    CentOS 8 7.2 MB c5f69add5a906ac08908658b5cad66d7
    CentOS 7 7.7 MB 95bad2a17865b71ece322ab2c49a8ee0
    Fedora 33 6.9 MB ff32c48a3181a5d211fcb9ff29214ddd
    Fedora 31 7.6 MB eeb169816e3d3e69a319af8b6fca14e3
    MacOSX 5.4 MB ad50016a2ceefcfb2333daf37a66d25a
    Documentation 16.0 MB c291d4cfa58f2a8319d926f7eb02a79e
  • 2.8
  • 2.8.1
    Debian 10 7.4 MB 88c647c5d146f06cce0c2cdf52341bfe
    Debian 9 7.5 MB c3db8cbbbe49698fe2cc49957aa0690c
    Ubuntu 20.04 7.8 MB d460c9d690268894fc22d25234df798f
    Ubuntu 18.04 7.2 MB be04de9c8090792ea79bf52867f054d9
    Ubuntu 16.04 7.6 MB 469b278e767c58aa9c99e9b110642e0f
    CentOS 8 7.3 MB 889c22eef162f358da02f469880ba109
    CentOS 7 7.8 MB f1b8f386c61fda5715562c38cd6a92a8
    Fedora 31 7.6 MB b0c2c3c13157361fab6174dfdcaf818d
    MacOSX 5.8 MB f206229efeb93835a3f99f6bc76156f1
    Documentation 16.0 MB dedec8c66b6bb39b3b78dabab887c9ae
  • 2.8
    Debian 10 3.8 MB 1736407661688e6089ba065fff82170c
    Debian 9 3.9 MB 2a1b74533426f937371f358e50f78046
    Ubuntu 18.04 3.7 MB 26e6d097a2bcdc8470a70abdeb76314d
    Ubuntu 16.04 3.9 MB 81372f5b2a959374b22e806076d1ea80
    CentOS 8 3.7 MB e33c3d3a7d2cbc04cf0f5bf20afb5c77
    CentOS 7 4.0 MB ed868dbccfc409bdb9a36db41f2a7eab
    Fedora 31 3.9 MB 3be35ac1264b71d9108cd4b5424b73f0
    MacOSX 3.0 MB f12819ebed5f132b432eeaa54d2483a4
    Documentation 15.9 MB ad04eb875fe86b07601c4de23ace1eb4
  • 2.7
  • 2.7.2
    Linux GCC5/6/... HLIBpro / auxiliary libraries 6.2 MB / 24.4 MB 971512b8313499fa569d32416551d26c / 2041c644aa64124d53baa25962d4c2b4
    Linux GCC4 HLIBpro / auxiliary libraries 6.4 MB / 24.4 MB 990184fb456a56c60f3865a9dce378d5 / 17b2148de830fe87b4d4d08be26ed61f
    MacOSX HLIBpro 4.6 MB bc5b38a954b127474cdf427c6d9a3306
    all Documentation 16.1 MB bec41517b129443ecec307ee9d6d5274
  • 2.7.1
    Linux GCC5/6/... HLIBpro / auxiliary libraries 6.2 MB / 24.4 MB fed6bff525195147e8943d3f0b6ef012 / 18f0ec21d040b8e9bcb7df389c771905
    Linux GCC4 HLIBpro / auxiliary libraries 6.4 MB / 24.4 MB 2fc2a0ef57a655ea2a895cb12a3c2f69 / c85d3581ab39ff33bda8399bd778cb16
    MacOSX HLIBpro 4.6 MB kB c60cf2d07ed8d1769492dc2e04634827
    all Documentation 16.1 MB d608710a807b45ed6a53319709433546
  • 2.7
    Linux GCC5/6/... HLIBpro / auxiliary libraries 6.2 MB / 24.4 MB 3f1d0ffc84e12924ddb703d100f09d33 / 526c3c1aca7f97ac229a66d94e039abc
    Linux GCC4 HLIBpro / HLIBpro auxiliary libraries 6.4 MB / 24.4 MB 0926d41b08aa41842febd68676a6caad / 0478bfccc67f13d83552f23967919846
    MacOSX HLIBpro 4.6 MB 5ba4bab9e28dfbfb48f2b7f49735b588
    all Documentation 16.1 MB 9078bce2aa99d8a83576318f2deb6e84
  • 2.6
    Linux GCC4 HLIBpro / auxiliary libraries 6.4 MB / 24.4 MB 607430972392c811f1b031ecc38c12a6 / ea164b0bbd986e71dd53fb3796796c3b
    Linux GCC5/6/... HLIBpro / auxiliary libraries 6.2 MB / 24.4 MB d1eba7478602952a6056446e8ea9530d / 766e6b6767efb6e187bfb9ba373044d1
    MacOSX HLIBpro 4.6 MB cd90bfec5e2fd8aefca8a91bbec1588e
    all Documentation 16.1 MB 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.