On Tue, Nov 23, 2010 at 08:21:55AM +0100, Matthieu Brucher wrote: > optimize.fmin can be enough, I don't know it well enough. Nelder-Mead > is not a constrained optimization algorithm, so you can't specify an > outer hull.
I saw that, after a bit more reading. > As for the integer part, I don't know if optimize.fmin is > type consistent, That not a problem: I wrap my function in a small object to ensure memoization, and input argument casting. The problem is that I can't tell the Nelder-Mead that the smallest jump it should attempt is .5. I can set xtol to .5, but it still attemps jumps of .001 in its initial jumps. Of course optimization on integers is fairly ill-posed, so I am asking for trouble. Gael _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
