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LevenbergMarquardt nonlinear least squares algorithmlevmar is a native ANSI C implementation of the LevenbergMarquardt optimization algorithm. Both unconstrained and constrained (under linear equations, inequality and box constraints) LevenbergMarquardt 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 leastsquares problems and can be thought of as a combination of steepest descent and the GaussNewton 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 GaussNewton method.
Version: 2.6 License: GPL GitHubMaintainers  lockhart 
Categories  math 
Homepage  http://www.ics.forth.gr/~lourakis/levmar/ 
Platforms  darwin 
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