[ANN] OpenOpt 0.27 (optimization), FuncDesigner 0.17 (auto differentiation) - OR-Exchange [closed] most recent 30 from http://www.or-exchange.com 2010-07-31T00:38:41Z http://www.or-exchange.com/feeds/question/107 http://www.creativecommons.org/licenses/by-nc/2.5/rdf http://www.or-exchange.com/questions/107/ann-openopt-0-27-optimization-funcdesigner-0-17-auto-differentiation [ANN] OpenOpt 0.27 (optimization), FuncDesigner 0.17 (auto differentiation) Dmitrey 2009-12-16T09:44:51Z 2010-04-21T21:23:34Z <p>Hi all, I'm glad to inform you about release of OpenOpt 0.27 (numerical optimization framework), FuncDesigner 0.17 (CAS with automatic differentiation, convenient modelling of linear/nonlinear functions, can use convenient modelling for some OpenOpt optimization problems and systems of linear/nonlinear equations, possibly sparse or overdetermined), DerApproximator 0.17 (finite-differences derivatives approximation, get or check user-supplied).</p> <p>These packages are written in Python language + NumPy; license BSD allows to use it in both free and closed-code soft</p> <p>See also changelog for details: <a href="http://openopt.org/Changelog" rel="nofollow">http://openopt.org/Changelog</a></p> <p>Regards, D. </p> <p>P.S. Please excuse me if the message is beyond allowed ones, I will not post those here any more in the case.</p> http://www.or-exchange.com/questions/107/ann-openopt-0-27-optimization-funcdesigner-0-17-auto-differentiation/108#108 Answer by Michael Trick for [ANN] OpenOpt 0.27 (optimization), FuncDesigner 0.17 (auto differentiation) Michael Trick 2009-12-16T12:39:18Z 2009-12-16T12:39:18Z <p>I think at this point the consensus is to not allow announcements in the Q&amp;A stream. I'll think of better ways to allow these sort of things. </p> http://www.or-exchange.com/questions/107/ann-openopt-0-27-optimization-funcdesigner-0-17-auto-differentiation/110#110 Answer by Mark for [ANN] OpenOpt 0.27 (optimization), FuncDesigner 0.17 (auto differentiation) Mark 2009-12-16T17:58:08Z 2009-12-16T17:58:08Z <p>Is it possible to run it in IronPython (with or without IronClad)?</p>