[SciPy-user] [optimization] OpenOpt 0.17

[Matthieu Brucher]

2008/3/15, dmitrey <dmitrey.kroshko at scipy.org>:
>
> Unfortunately, AFAIK no (however, maybe some C or Fortran written
> solvers that are connected to OO can be somehow turned to use parallel
> CPU).
> MATLAB OpenOpt version could calculate 1st derivative df numerically via
> parallel cycle by parfor. However, it can benefit for costly funcs only.
> I intended to implement something like that in Python, but I don't know
> which library is better, and those that I had seen have (as for me)
> inconvenient syntax & complicated documentation.
> If someone is familiar with a Python library for parallel calculation,
> he could easily use it to calculate df, dc, dh numerically
> (func(x+dx[i])-func(x)/dx).
> Regards, D.
>

This is a good idea, it won't be much trouble to add a new numerical
function class in the generic framework. I'll think about this ;)

Matthieu
-- 
French PhD student
Website : http://matthieu-brucher.developpez.com/
Blogs : http://matt.eifelle.com and http://blog.developpez.com/?blog=92
LinkedIn : http://www.linkedin.com/in/matthieubrucher
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.scipy.org/pipermail/scipy-user/attachments/20080315/b6fcff36/attachment.html>