[SciPy-user] [optimization] OpenOpt 0.17

[dmitrey]

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.

James Phillips wrote:
> Does this have any parallel computation code?  I was
> recently given access to a 4-core server, so I'm
> curious to know if it might speed up the OpenOpt
> calculations if multiple SMP CPU cores are available
> for parallel processing.
>
>      James Phillips
>      http://zunzun.com
>
> On 3/15/08, *dmitrey* <dmitrey.kroshko at scipy.org 
> <mailto:dmitrey.kroshko at scipy.org>> wrote:
>
>     Greetings,
>     We're pleased to announce:
>     OpenOpt 0.17 (release), free (license: BSD) optimization framework for
>     Python language programmers,  is available for download.
>
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