The optimization toolboxes you speak about depend on matlab. If you has matlab installed on your machine, you can interact with it as explained here.
That said,
Sage offers mixed integer linear programming, see also this tutorial. The default backend is glpk which is quite slow, but you can easily install faster backends.
Sage offers some convex optimization since it contains CVXOPT
Sage contains scipy which has an optimization module.
IPOPT has a python-connector (http://code.google.com/p/pyipopt/people/list) , perhaps we can import it? It is powerful and open-source.
Asked: 2013-11-15 07:36:23 +0200
Seen: 372 times
Last updated: Nov 15 '13
Copyright Sage, 2010. Some rights reserved under creative commons license. Content on this site is licensed under a Creative Commons Attribution Share Alike 3.0 license.
