On Jul 19, 2006, at 16:53, Harold Fellermann wrote: > :-) Anyway, I had > the impression that the leastSquaresFit in Scientific Python is an > implementation of > the Levenberg Marquardt algorithm as it is presented in the Numerical > Recipes.
True. > Accoring > to reviews, this algorithm is not famous for its stability > (e.g. http://www.stanford.edu/class/cme302/wnnr/nr.html). Better > implementations > are out there (e.g. http://www.ics.forth.gr/~lourakis/levmar/). Are > there any plans to > improve the SciPy algorithm? Would it be a welcome contribution to > SciPy to work > this part out? Yes, definitely. And no, I have no plans to do it myself any time soon. The current implementation has always been sufficient for my needs, and time is scarce... BTW, ScientificPython (http://dirac.cnrs-orleans.fr/ ScientificPython/) is not the same thing as SciPy (http:// www.scipy.org/). Both are scientific libraries for Python, but their focus is different: ScientificPython aims at providing pythonic modules for scientific computing, whereas SciPy's objective is to provide Python interfaces to the large pool of scientific libraries from the Fortran/C/C++ world. Scientific users of Python should probably have both of them installed. Konrad. -- --------------------------------------------------------------------- Konrad Hinsen Centre de Biophysique Moléculaire, CNRS Orléans Synchrotron Soleil - Division Expériences Saint Aubin - BP 48 91192 Gif sur Yvette Cedex, France Tel. +33-1 69 35 97 15 E-Mail: [EMAIL PROTECTED] --------------------------------------------------------------------- -- http://mail.python.org/mailman/listinfo/python-list
