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Summary: Review Request: levmar - Levenberg-Marquardt nonlinear least squares
optimization
https://bugzilla.redhat.com/show_bug.cgi?id=558061
Summary: Review Request: levmar - Levenberg-Marquardt nonlinear
least squares optimization
Product: Fedora
Version: rawhide
Platform: All
OS/Version: Linux
Status: NEW
Severity: medium
Priority: medium
Component: Package Review
AssignedTo: nobody(a)fedoraproject.org
ReportedBy: eric(a)brouhaha.com
QAContact: extras-qa(a)fedoraproject.org
CC: notting(a)redhat.com, fedora-package-review(a)redhat.com
Estimated Hours: 0.0
Classification: Fedora
This is my first package, so I'm seeking a sponsor.
Spec URL:
http://www.brouhaha.com/~eric/software/fedora/f12/levmar/levmar.spec
SRPM URL:
http://www.brouhaha.com/~eric/software/fedora/f12/levmar/levmar-2.5-1.fc1...
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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