[ol7_developer_EPEL] levmar-2.6-1.el7.x86_64

Name:levmar
Version:2.6
Release:1.el7
Architecture:x86_64
Group:Unspecified
Size:141148
License:GPLv2+
RPM: levmar-2.6-1.el7.x86_64.rpm
Source RPM: levmar-2.6-1.el7.src.rpm
Build Date:Mon Mar 09 2020
Build Host:x86-ol7-builder-03.us.oracle.com
Vendor:Oracle America
URL:http://www.ics.forth.gr/~lourakis/levmar/
Summary:Levenberg-Marquardt nonlinear least squares algorithm
Description:
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.

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