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PYLEVMAR - Python Bindings to LEVMAR

WARNING: this project is currently not usable and in early alpha stage

This project combines

1) levmar2.5: written by Manolis Lourakis

2) pylevmar: originally written by Alastair Tse

for ease of installation.

GPL (see the included LICENSE file)

Original README of LEVMAR::

LEVMAR version 2.5 By Manolis Lourakis

Institute of Computer Science Foundation for Research and Technology - Hellas Heraklion, Crete, Greece

This is levmar, a copylefted C/C++ implementation of the Levenberg-Marquardt non-linear least squares algorithm. levmar includes double and single precision LM versions, both with analytic and finite difference approximated Jacobians. levmar also has some support for constrained non-linear least squares, allowing linear equation, box and linear inequality constraints. The following options regarding the solution of the underlying augmented normal equations are offered:

  1. Assuming that you have LAPACK (or an equivalent vendor library such as ESSL, MKL, NAG, ...) installed, you can use the included LAPACK-based solvers (default).
  2. If you don't have LAPACK or decide not to use it, undefine HAVE_LAPACK in levmar.h and a LAPACK-free, LU-based linear systems solver will by used. Also, the line setting the variable LAPACKLIBS in the Makefile should be commented out.

It is strongly recommended that you do employ LAPACK; if you don't have it already, I suggest getting clapack from However, LAPACK's use is not mandatory and the 2nd option makes levmar totally self-contained. See lmdemo.c for examples of use and for general comments. An example of using levmar for data fitting is in expfit.c

The mathematical theory behind levmar is described in the lecture notes entitled "Methods for Non-Linear Least Squares Problems", by K. Madsen, H.B. Nielsen and O. Tingleff, Technical University of Denmark (

LICENSE levmar is released under the GNU Public License (GPL), which can be found in the included LICENSE file. Note that under the terms of GPL, commercial use is allowed only if a software employing levmar is also published in source under the GPL. However, if you are interested in using levmar in a proprietary commercial application, a commercial license for levmar can be obtained by contacting the author using the email address at the end of this file.

  • You might first consider setting a few configuration options at the top of levmar.h. See the accompanying comments for more details.
  • On a Linux/Unix system, typing "make" will build both levmar and the demo program using gcc. Alternatively, if Intel's C++ compiler is installed, it can be used by typing "make -f Makefile.icc".
  • Under Windows and if Visual C is installed & configured for command line use, type "nmake /f" in a cmd window to build levmar and the demo program. In case of trouble, read the comments on top of Visual C++ project files (levmar.vcproj and lmdemo.vcproj) are also included, however they are not supported and are only meant to serve as a starting point for creating your own. Check if you need to convert to .dsw/.dsp (i.e., Visual C++ 6.0) project files.
  • levmar can also be built under various platforms using the CMake cross-platform build system. The included CMakeLists.txt file can be used to generate makefiles for Unix systems or project files for Windows systems. See for details.

MATLAB INTERFACE Since version 2.2, the levmar distribution includes a matlab interface. See the 'matlab' subdirectory for more information and examples of use.

Notice that *_core.c files are not to be compiled directly; For example, Axb_core.c is included by Axb.c, to provide single and double precision routine versions.

Send your comments/bug reports to lourakis at ics forth gr