Name: conjugateGradient Version: 2.2 Category: Math Synopsis: Sparse matrix linear-equation solver Description: Sparse matrix linear-equation solver, using the conjugate gradient algorithm. Note that the technique only applies to matrices that are symmetric and positive-definite. See 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. Copyright: Levent Erkok, 2013 License: BSD3 License-file: LICENSE Stability: Experimental Author: Levent Erkok Homepage: http://github.com/LeventErkok/conjugateGradient Bug-reports: http://github.com/LeventErkok/conjugateGradient/issues Maintainer: Levent Erkok (erkokl@gmail.com) Build-Type: Simple Cabal-Version: >= 1.14 Extra-Source-Files: INSTALL, README, COPYRIGHT, RELEASENOTES source-repository head type: git location: git://github.com/LeventErkok/conjugateGradient.git Library default-language: Haskell2010 ghc-options : -Wall Build-Depends : base >= 4 && < 5, random, containers >= 0.5 Exposed-modules : Math.ConjugateGradient