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Group :: System/Libraries
RPM: liblevmar

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Current version: 2.6-alt1_12
Build date: 25 february 2023, 11:30 ( 60.0 weeks ago )
Size: 86.36 Kb

Home page:

License: GPLv2+
Summary: Levenberg-Marquardt nonlinear least squares algorithm

levmar is a native ANSI C implementation of the Levenberg-Marquardt
optimization algorithm.  Both unconstrained and constrained (under linear
equations, inequality and box constraints) Levenberg-Marquardt variants are
included.  The LM 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 on,
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.

Current maintainer: Igor Vlasenko

List of contributors

List of rpms provided by this srpm:

  • liblevmar
  • liblevmar-debuginfo
  • liblevmar-devel
  • liblevmar-devel-debuginfo
    design & coding: Vladimir Lettiev aka crux © 2004-2005, Andrew Avramenko aka liks © 2007-2008
    current maintainer: Michael Shigorin