# conjugateGradient: Sparse matrix linear-equation solver

Sparse matrix linear-equation solver, using the conjugate gradient algorithm. Note that the technique only applies to matrices that are:

Symmetric

Positive-definite

See http://en.wikipedia.org/wiki/Conjugate_gradient_method for details.

The conjugate gradient method can handle very large sparse matrices, where direct methods (such as LU decomposition) are way too expensive to be useful in practice.

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Versions | 1.0, 1.1, 1.2, 1.3, 1.4, 2.0, 2.1, 2.2 |
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Dependencies | base (==4.*), containers, random [details] |

License | BSD-3-Clause |

Copyright | Levent Erkok, 2013 |

Author | Levent Erkok |

Maintainer | Levent Erkok (erkokl@gmail.com) |

Category | Math |

Home page | http://github.com/LeventErkok/ConjugateGradient |

Bug tracker | http://github.com/LeventErkok/ConjugateGradient/issues |

Source repo | head: git clone git://github.com/LeventErkok/ConjugateGradient.git |

Uploaded | by LeventErkok at Mon Apr 15 03:53:37 UTC 2013 |

Distributions | NixOS:2.2 |

Downloads | 3003 total (24 in the last 30 days) |

Rating | (no votes yet) [estimated by rule of succession] |

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Status | Docs uploaded by user Build status unknown [no reports yet] Hackage Matrix CI |

## Downloads

- conjugateGradient-1.1.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)