A Python binding to the levmar library. Note that this is a fork of https://github.com/tkanmae/levmar.
The levmar is GPL'ed ANSI C implementation of the Levenberg-Marquardt (LM) optimization algorithm. The LM algorithm provides a numerical solution to the problem of minimizing a function over a parameter space of a function. The levmar library provides implementation of both unconstrained and constrained LM algorithms (box, linear equation, and linear inequality constraints).
Simplest way to install levmar and its dependencies is to use the conda package manager:
$ conda install -c bjodah levmar pytest $ python -m pytest --pyargs levmar # runs the test-suite
alternatively you may also use pip:
$ python -m pip install --user --upgrade pytest levmar $ python -m pytest --pyargs levmar
you can skip the
--user flag if you have got root permissions.
See docstrings and demo scripts contained in the directory
./examples. Documentation of the levmar library can be found at
http://www.ics.forth.gr/~lourakis/levmar/. Auto-generated API documentation
for the latest stable release of this wrapper is found here:
(and the development version for the current master branch of this wrapper
is found here: http://hera.physchem.kth.se/~levmar/branches/master/html).
The MIT license applies to all the files except those in
./levmar-2.6. All of the software in
./levmar-2.6 and only the
software therein is copyrighted by Manolis Lourakis and is licensed
under the terms and conditions of the GNU General Public License (GPL).
See the file LICENSE.txt.