The conjugateGradient package

[Tags: bsd3, library]

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

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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Versions1.0, 1.1, 1.2, 1.3, 1.4, 2.0, 2.1, 2.2
Change logNone available
Dependenciesbase (==4.*), containers, random [details]
LicenseBSD3
CopyrightLevent Erkok, 2013
AuthorLevent Erkok
MaintainerLevent Erkok (erkokl@gmail.com)
StabilityExperimental
CategoryMath
Home pagehttp://github.com/LeventErkok/ConjugateGradient
Bug trackerhttp://github.com/LeventErkok/ConjugateGradient/issues
Source repositoryhead: git clone git://github.com/LeventErkok/ConjugateGradient.git
UploadedSun Apr 14 22:42:45 UTC 2013 by LeventErkok
DistributionsNixOS:2.2
Downloads1277 total (67 in last 30 days)
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StatusDocs uploaded by user
Build status unknown [no reports yet]

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Readme for conjugateGradient-1.0

Conjugate Gradient Solver 
=========================

[![Build Status](https://secure.travis-ci.org/LeventErkok/conjugateGradient.png?branch=master)](http://travis-ci.org/LeventErkok/conjugateGradient)

Sparse matrix linear equation solver, using the Conjugate Gradient algorithm: http://en.wikipedia.org/wiki/Conjugate_gradient_method.

The method is applicable to matrices that are symmetric and positive definite.