HaskellLM: Pure Haskell implementation of the Levenberg-Marquardt algorithm

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The Levenberg-Marquardt algorithm is a minimization algorithm for functions expressed as a sum of squared errors

This can be used for curve-fitting, multidimensional function minimization, and neural networks training

Go to https://github.com/ktklam9/HaskellLM for example usage (in tests)

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Versions [RSS] 0.1.0, 0.1.1, 0.1.2
Dependencies base (>=4 && <5), hmatrix (>=0.12.0.0) [details]
License LicenseRef-GPL
Author Kiet Lam
Maintainer Kiet Lam <ktklam9@gmail.com>
Category Math
Source repo head: git clone https://github.com/ktklam9/HaskellLM
Uploaded by KietLam at 2012-02-29T16:44:40Z
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Reverse Dependencies 1 direct, 0 indirect [details]
Downloads 3048 total (0 in the last 30 days)
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Status Docs uploaded by user
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