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hackage.haskell.org : conjugateGradient
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 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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purl: pkg:hackage/conjugateGradient
Keywords: bsd3, library, math, conjugate-gradient, haskell, optimization, sparse-matrix
License: BSD-3-Clause
Latest release: about 11 years ago
First release: about 11 years ago
Downloads: 6,384 total
Stars: 15 on GitHub
Forks: 6 on GitHub
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Last synced: 9 days ago