On Tue, Nov 23, 2010 at 10:18:50AM +0100, Matthieu Brucher wrote: > > 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.
> This is strange. It should not if the intiial points are set > adequatly. You may want to check if the initial conditions make the > optimization start at correct locations. Yes, that's excatly the problem. And it is easy to see why: in scipy.optimise.fmin, around line 186, the initial points are chosen with a relative distance of 0.00025 to the intial guess that is given. That's not what I want in the case of integers :). > > Of course optimization on integers is > > fairly ill-posed, so I am asking for trouble. > Indeed :D That's why GA can be a good solution as well. It's suboptimal if I know that my function is bell-shaped. Gael _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
