On Tue, Nov 23, 2010 at 07:14:56PM +0100, Matthieu Brucher wrote: > > Jumping in a little late, but it seems that simulated annealing might > > be a decent method here: take random steps (drawing from a > > distribution of integer step sizes), reject steps that fall outside > > the fitting range, and accept steps according to the standard > > annealing formula.
> There is also a simulated-annealing modification of Nelder Mead that > can be of use. Sounds interesting. Any reference? G _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
