[SciPy-user] Can scipy resolve this problem?

Robert Kern robert.kern@gmail....
Wed Jan 7 02:15:19 CST 2009

On Wed, Jan 7, 2009 at 02:05, zhang chi <zhangchipr@gmail.com> 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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