[SciPy-dev] Forwarded message: RE: Algorithm License requested
Mon Sep 17 16:51:29 CDT 2007
I've been a bit busy and haven't had time to complete my implementation of
the SLSQP python wrapper. That said, what I currently have was designed to
mesh with other optimizers in scipy.optimize, so it sounds like I'll work to
implement in in scipy.optimize when I have some time to do so.
On 9/17/07, dmitrey <firstname.lastname@example.org> wrote:
> Alan G Isaac wrote:
> > On Fri, 14 Sep 2007, Rob Falck apparently wrote:
> >> Well that's good news. I have a decent wrapper for SLSQP
> >> implemented, although I still need to implement constraint
> >> gradient passing. I'm pretty new to Scipy development.
> >> Would this be better left in scipy.optimize or openopt?
> > Unless some other opinion is expressed, can you please
> > discuss with Dmitrey how best to move this into OpenOpt?
> > Cheers,
> > Alan Isaac
> Noone contacted me yet, but I have some things to explain.
> 1st, should the func be connected to openopt, then it should have same
> to TOMLAB syntax, that is very complicated:
> So it will require too much time for me (as well as learning OC
> problems, I'm not familiar with the ones, however, I know here are some
> people in Ukraine researching the ones).
> 2nd, OC problems are much more complicated then finite-dimensional ones
> (like ordinary NLP, LP, QP etc are), and solving of the ones usually
> requires much more cputime (and func calls), hance objective funcs
> written in Python will require much more time to calculate argmin, and I
> guess that's why Python was not used widely for solving OCPs.
> 3rd, I have too small time that I can devote to openopt development for
> now, and I'm busy with enhancing my lincher (I hope to make some issues
> from the one to my dissertation, time left is too short) and some other
> So I can't implement the thing at least in nearest future.
> Maybe someone wants to connect that one to scipy.optimize, since it has
> BSD license?
> Regards, D.
- Rob Falck
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