[SciPy-User] Optimization with boundary conditions
Thu Aug 5 02:47:34 CDT 2010
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
> 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.
> On Mon, Aug 2, 2010 at 10:42 PM, Robert Streubel
> <email@example.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?
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