[Numpy-discussion] N dimensional dichotomy optimization
Tue Nov 23 02:52:26 CST 2010
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.
More information about the NumPy-Discussion