[SciPy-user] Can scipy resolve this problem?
Wed Jan 7 02:24:21 CST 2009
Then perhaps the best course of action is to explicitely test every
possibility and then take the argmin ?
2009/1/7 zhang chi <firstname.lastname@example.org>:
> Thank you.
> "step" I mean if x1 $\in$ [2,5], the x1 $\in$ [2,3,4,5]
> On Wed, Jan 7, 2009 at 4:15 PM, Robert Kern <email@example.com> wrote:
>> On Wed, Jan 7, 2009 at 02:05, zhang chi <firstname.lastname@example.org> wrote:
>> > hi
>> > I want to get the minimum value of a derivative free optimization
>> > problem. The function F(x1,x2) can't be given the expression, but the
>> > function can be realized using python language. Where x1 $\in$ [1,100],
>> > and
>> > x2 $\in$ [50,80]. Can scipy resolve this problem?
>> Use fmin_tnc, fmin_l_bfgs_b, or fmin_slsqp for plain bounds like this.
>> > I have tried the cobyla,
>> > but it cannot find the minimum value.
>> > By the way, the step of x1 and x2 is 1.
>> What do you mean by "the step"?
>> Robert Kern
>> "I have come to believe that the whole world is an enigma, a harmless
>> enigma that is made terrible by our own mad attempt to interpret it as
>> though it had an underlying truth."
>> -- Umberto Eco
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