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. Such large sparse matrices arise naturally in many engineering problems, such as in ASIC placement algorithms and when solving partial differential equations.


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Properties

Versions 1.0, 1.1, 1.2, 1.3, 1.4, 2.0, 2.1, 2.2
Dependencies base (==4.*), containers, random [details]
License BSD3
Copyright Levent Erkok, 2013
Author Levent Erkok
Maintainer Levent Erkok (erkokl@gmail.com)
Stability Experimental
Category Math
Home page http://github.com/LeventErkok/conjugateGradient
Bug tracker http://github.com/LeventErkok/conjugateGradient/issues
Source repository head: git clone git://github.com/LeventErkok/ConjugateGradient.git
Uploaded Tue Apr 16 03:41:48 UTC 2013 by LeventErkok
Distributions NixOS:2.2
Downloads 1690 total (19 in the last 30 days)
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Status Docs uploaded by user
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Readme for conjugateGradient

Readme for conjugateGradient-1.3

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.