Hi all,
I'm glad to inform you about new OpenOpt Suite release 0.42 (2012-Sept-15), fa free Python-written cross-platform software with primal focus on numerical optimization. Main changes:
* Some improvements for solver interalg, including handling of categorical variables
* Some parameters for solver gsubg
* Speedup objective function for de and pswarm on FuncDesigner models
* New global (GLP) solver: asa (adaptive simulated annealing)
* Some new classes for network problems: TSP (traveling salesman problem), STAB (maximum graph stable set)], MCP (maximum clique problem)
* Improvements for FD XOR (and now it can handle many inputs)
* Solver de has parameter "seed", also, now it works with PyPy
* Function sign now is available in FuncDesigner
* FuncDesigner interval analysis (and thus solver interalg) now can handle non-monotone splines of 1st order
* FuncDesigner now can handle parameter fixedVars as Python dict
* Now scipy InterpolatedUnivariateSpline is used in FuncDesigner interpolator() instead of UnivariateSpline. This creates backward incompatibility - you cannot pass smoothing parameter (s) to interpolator no longer.
* SpaceFuncs: add Point weight, Disk, Ball and method contains(), bugfix for importing Sphere, some new examples
* Some improvements (essential speedup, new parameter interpolate for P()) for our (currently commercial) FuncDesigner Stochastic Programming addon
* Some bugfixes
In our website ( http://openopt.org ) you could vote for most required OpenOpt Suite development direction(s) (poll has been renewed, previous results are here).
Regards, D.
I'm glad to inform you about new OpenOpt Suite release 0.42 (2012-Sept-15), fa free Python-written cross-platform software with primal focus on numerical optimization. Main changes:
* Some improvements for solver interalg, including handling of categorical variables
* Some parameters for solver gsubg
* Speedup objective function for de and pswarm on FuncDesigner models
* New global (GLP) solver: asa (adaptive simulated annealing)
* Some new classes for network problems: TSP (traveling salesman problem), STAB (maximum graph stable set)], MCP (maximum clique problem)
* Improvements for FD XOR (and now it can handle many inputs)
* Solver de has parameter "seed", also, now it works with PyPy
* Function sign now is available in FuncDesigner
* FuncDesigner interval analysis (and thus solver interalg) now can handle non-monotone splines of 1st order
* FuncDesigner now can handle parameter fixedVars as Python dict
* Now scipy InterpolatedUnivariateSpline is used in FuncDesigner interpolator() instead of UnivariateSpline. This creates backward incompatibility - you cannot pass smoothing parameter (s) to interpolator no longer.
* SpaceFuncs: add Point weight, Disk, Ball and method contains(), bugfix for importing Sphere, some new examples
* Some improvements (essential speedup, new parameter interpolate for P()) for our (currently commercial) FuncDesigner Stochastic Programming addon
* Some bugfixes
In our website ( http://openopt.org ) you could vote for most required OpenOpt Suite development direction(s) (poll has been renewed, previous results are here).
Regards, D.
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