[SciPy-user] CVXOPT

[Nils Wagner]

Joachim Dahl wrote:
>
>
> On 10/30/06, *Sebastian Haase* <haase at msg.ucsf.edu
> <mailto:haase at msg.ucsf.edu>> wrote:
>
>     Sunghyun Cho wrote:
>     > Hello, Scipy users.
>     >
>     > I'm currently looking for a way to optimize nonlinear problem with
>     > linear constraints.
>     > I read documents of scipy, but I found there are just optimization
>     > methods with bound constraints which just use min and max values.
>     > If you know any packages related to this problem, please let me
>     know.
>     > I'll deeply appreciate your reply.
>     >
>
>
> If your cost-function is convex you could try CVXOPT, which is a general
> package for solving convex optimization problems;  it works quite well
> with
> SciPy via the array interface protocol.
>
> - Joachim
>
>     > THANK YOU!
>     >
>     > --
>     > Sunghyun Cho
>     > sodomau at postech.ac.kr <mailto:sodomau at postech.ac.kr>
>     <mailto:sodomau at postech.ac.kr <mailto:sodomau at postech.ac.kr>>
>     > http://sodomau.plus.or.kr
>     > Computer Graphics Lab.
>     > POSTECH
>     >
>     >
>
>     Would the cobyla function help you ? It is in scipy.optimize.
>     Look also in the archive of this list for it.
>
>     -Sebastian
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>
>
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>   


I have installed CVXOPT. Where can I get a pdf version of the
documentation ?
http://www.ee.ucla.edu/~vandenbe/cvxopt/doc/cvxopt.html

A make in cvxopt-0.8/doc failed

mkhowto: Command not found

Nils