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levmar: An implementation of the Levenberg-Marquardt algorithm

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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.

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.

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Versions [RSS] 0.1, 0.2, 0.2.1, 0.3, 1.0, 1.1, 1.1.0.1, 1.2, 1.2.0.1, 1.2.1, 1.2.1.1, 1.2.1.2, 1.2.1.3, 1.2.1.4, 1.2.1.5, 1.2.1.6, 1.2.1.7, 1.2.1.8
Dependencies base (>=3 && <5), bindings-levmar (>=1.1), hmatrix (>=0.12), vector (>=0.8) [details]
License BSD-3-Clause
Copyright (c) 2009 - 2014 Roel van Dijk & Bas van Dijk
Author Roel van Dijk <vandijk.roel@gmail.com> Bas van Dijk <v.dijk.bas@gmail.com>
Maintainer Roel van Dijk <vandijk.roel@gmail.com> Bas van Dijk <v.dijk.bas@gmail.com>
Category Numerical, Math
Home page https://github.com/basvandijk/levmar
Bug tracker https://github.com/basvandijk/levmar/issues
Source repo head: git clone git://github.com/basvandijk/levmar.git
Uploaded by BasVanDijk at 2018-05-07T06:39:40Z
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Reverse Dependencies 2 direct, 0 indirect [details]
Downloads 13849 total (2 in the last 30 days)
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Status Docs available [build log]
Last success reported on 2018-05-07 [all 1 reports]

Readme for levmar-1.2.1.8

[back to package description]

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.

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.