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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- conjugateGradient-1.0.tar.gz [browse] (Cabal source package)
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Versions [RSS] | 1.0, 1.1, 1.2, 1.3, 1.4, 2.0, 2.1, 2.2 |
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Dependencies | base (>=4 && <5), 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 2013-04-14T22:42:45Z |
Distributions | NixOS:2.2 |
Reverse Dependencies | 1 direct, 0 indirect [details] |
Downloads | 6486 total (32 in the last 30 days) |
Rating | (no votes yet) [estimated by Bayesian average] |
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