Pure Haskell implementation of the Levenberg-Marquardt algorithm

Latest on Hackage:0.1.2

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GPL licensed by Kiet Lam
Maintained by Kiet Lam

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)

Depends on:
Used by 1 package:
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