[GiNaC-list] GiNaC-list Digest, Vol 47, Issue 2

[alexander baker]

Have you thought of using some of the scipy libs for this tasks?

http://docs.scipy.org/doc/scipy/reference/optimize.html


Mobile: 07788 872118
Blog: www.alexfb.com


2009/1/14 Luca Dall'Olio <luca.dallolio at gmail.com>

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> Today's Topics:
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>    1. Re: constrained, parametric optimization (Richard B. Kreckel)
>
>
> ----------------------------------------------------------------------
>
> Message: 1
> Date: Wed, 14 Jan 2009 10:29:40 +0100
> From: "Richard B. Kreckel" <kreckel at ginac.de> <kreckel at ginac.de>
> Subject: Re: [GiNaC-list] constrained, parametric optimization
> To: GiNaC discussion list <ginac-list at ginac.de> <ginac-list at ginac.de>
> Message-ID: <496DB084.2060308 at ginac.de> <496DB084.2060308 at ginac.de>
> Content-Type: text/plain; charset=ISO-8859-1; format=flowed
>
> Luca Dall'Olio wrote:
>
>
>  I am developing a computer program which needs to solve a constrained,
> parametric optimisation, something like :
>
> meaning to calculate min(x) such as y = b*x+a and x <= c and x >=0
> where x and y are variables, a, b, c are constant but unknown parameters.
> Since the problem is calculated at runtime from my computer program and
> changes every time, I think I need to solve it with some form of constrained
> programming with a symbolic result.
>
> I could see something like this in mathematica :
> http://reference.wolfram.com/mathematica/ref/Minimize.html#61381153
>
> but I would like to keep my program free and open source, so I would like to
> use a free library for this...
>
> could you please tell me if I can do this using ginac?
>
>
>  GiNaC isn't prepared to do constrained optimization.
>
>
>  thank you very much for saving me a lot of (unsuccessful) time searching
> :-)
>
> I suppose that the example you posted above isn't the most general case
> you are aiming at.
>
>
>  yes, you are right
>
>
> Because if it is, you can of course do that manually.
> However, if the equations start containing powers of x, things become
> more nasty.
>
>
>  I agree, I could live with limitations such as "only linear objective
> function, only inequality constraints ..." or things like that, but I need a
> parametric input (and so a symbolic result)
>
> Regards
>     -richy.
>
>
>
> Best regards,
> Luca
>
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