[SciPy-User] Optimization with boundary conditions

[Sebastian Walter]

sorry, posted the wrong link: it was meant to be

http://openopt.org/Problems and not http://openopt.org/NLP



On Thu, Aug 5, 2010 at 9:46 AM, Sebastian Walter
<sebastian.walter at gmail.com> wrote:
> It really depends on what kind of optimization problem you have.
> On http://openopt.org/NLP there is a nice chart that summarizes the
> different classes of optimization problems.
> Once you have identified the problem class you can look for an
> appropriate algorithm.
>
> Hope that helps a little.
>
> Sebastian
>
>
>
>
>
> On Mon, Aug 2, 2010 at 10:42 PM, Robert Streubel
> <robert.streubel at googlemail.com> wrote:
>> Hello there,
>>
>> I'd like to minimize a scalar function F(a(x,y),b(x,y)) - with other words a functional - under certain boundary conditions, such as a+b<1.
>> Since Scipy supports minimization, I wonder if there could be a rather convenient way to imply boundary conditions. Because this condition causes a different minimum, it can not be considered recursively by a second fmin routine.
>> Hence, could anyway assist me, please?
>>
>> Cheers
>> Robert
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>