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Projektbeschreibung

NLopt is a library for nonlinear optimization that allows one to select from a wide variety of optimization algorithms by changing a single parameter. Its features include both local and global optimization, unconstrained, bound-constrained, or nonlinear-inequality constrained problems, and optimization using function values only or using derivatives if they are available. It was initially begun as a wrapper around several existing optimization packages, but it now also includes original implementations of several algorithms for which no free code was available. It provides interfaces callable from C/C++, Fortran, Matlab, GNU Octave, Python, and GNU Guile.

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Information regarding Project Releases and Project Resources. Note that the information here is a quote from Freecode.com page, and the downloads themselves may not be hosted on OSDN.

2011-05-27 06:07
2.2.2

Diverse kleinere Bugfixes.
Tags: Bugfixes
Various minor bugfixes.

2010-09-07 06:06
2.2.1

Verschiedene Fixes unter Microsoft Visual Studio zu kompilieren, sowie ein Bugfix für absolute Toleranz Einstellungen.
Tags: Bugfixes
Various fixes to compile under Microsoft Visual Studio, as well a bugfix to absolute tolerance settings.

2010-07-16 18:06
2.2

Der Algorithmus wurde für SLSQP Gradienten-basierten nichtlinear restringierte Optimierung aufgenommen. Implizite pro-Dimension Skalierung ist in BOBYQA und COBYLA getan. Verschiedene Fehler wurden behoben.
Tags: Minor, Bugfixes
The SLSQP algorithm was added for gradient-based nonlinearly constrained optimization. Implicit per-dimension scaling is done in BOBYQA and COBYLA. Various bugs were fixed.

2010-07-08 07:31
2.1.1

Dieses Release behebt ein konfigurieren überprüfen Python Verzeichnisse, fehlende Funktionen in der Version Guile-Schnittstelle.
Tags: Bugfixes
This release corrects a configure check for Python include directories, missing version functions in the Guile interface.

2010-07-08 07:31
2.1

Unterstützung für vektorwertige Zwänge. Nichtlineare Gleichstellung Einschränkungen in der COBYLA Algorithmus.
Tags: Minor
Support for vector-valued constraints. Nonlinear equality constraints in the COBYLA algorithm.

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