The levmar package

[Tags:bsd3, library]

The Levenberg-Marquardt algorithm is an iterative technique that finds a local minimum of a function that is expressed as the sum of squares of nonlinear functions. It has become a standard technique for nonlinear least-squares problems and can be thought of as a combination of steepest descent and the Gauss-Newton method. When the current solution is far from the correct one, the algorithm behaves like a steepest descent method: slow, but guaranteed to converge. When the current solution is close to the correct solution, it becomes a Gauss-Newton method.

Optional box- and linear constraints can be given. Both single and double precision floating point types are supported.

The actual algorithm is implemented in a C library which is bundled with bindings-levmar which this package depends on. See:

This library consists of two layers:

Each layer also has special data-fitting variants:

All modules are self-contained; i.e. each module re-exports all the things you need to work with it.

For an example how to use this library see Demo.hs which is included in this package. Demo.hs is a Haskell translation of lmdemo.c from the C levmar library.

A note regarding the license:

This library depends on bindings-levmar which is bundled together with a C library which falls under the GPL. Please be aware of this when distributing programs linked with this library. For details see the description and license of bindings-levmar.


Versions 0.1, 0.2, 0.2.1, 0.3, 1.0, 1.1,, 1.2,, 1.2.1,,,,,,
Dependencies base (>=3 && <4.2), bindings-levmar (<0.2) [details]
License BSD3
Copyright (c) 2009 Roel van Dijk & Bas van Dijk
Author Roel van Dijk & Bas van Dijk
Category numerical
Source repository head: darcs get
Uploaded Wed Sep 9 14:45:15 UTC 2009 by BasVanDijk
Distributions NixOS:
Downloads 2991 total (11 in the last 30 days)
0 []
Status Docs not available [build log]
All reported builds failed as of 2016-12-31 [all 5 reports]


  • LevMar
    • LevMar.Fitting
    • LevMar.Intermediate
      • LevMar.Intermediate.Fitting
  • NFunction
  • SizedList
  • TypeLevelNat


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