On Fri, May 1, 2009 at 4:58 PM, Thomas Savitsky <tjsavit...@gmail.com> wrote:
> Hello all,
>
> I've noticed that the function find_minimum_on_interval makes no attempt to
> find "the" minimum on the interval as the documentation implies, but rather
> "a local" minimum.  I imagine this may be a source of confusion for other
> new users as well.  Rather than treating this as a bug, may I suggest
> changing the documentation for this function to reflect that it only finds a
> local minimum and adding an additional function which searches for a global
> minimum?

+1  Can you provide a few examples for the docstring that illustrate this?


William

>
> I looked into global optimizers, and scipy's anneal is not the answer.  It
> gives poor results quite often.  A better choice would be ASA, located at
> http://alumnus.caltech.edu/~ingber/#ASA Unfortunately, there are functions
> which give this (and other) optimizer problems, such as the Rosenbrock
> function: (1-x)^2 + 100 (y - x^2)^2.  Nevertheless, a numerical
> approximation for a global minimum would benefit sage imo.  But if it were
> added, how should the end user be informed that the answer given may very
> wrong, and significant effort spent tuning options to the optimizer may be
> required for a good result?
>
> -- Thomas Savitsky
>
>
>
> >
>



-- 
William Stein
Associate Professor of Mathematics
University of Washington
http://wstein.org

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