Projects / NLopt


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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RSS Recent releases

  •  20 Jul 2012 23:17

Release Notes: This release adds minor bugfixes and adds a new optimization algorithm (a preconditioned CCSA variant).

  •  26 May 2011 21:07

Release Notes: Various minor bugfixes.

  •  06 Sep 2010 21:06

Release Notes: Various fixes to compile under Microsoft Visual Studio, as well a bugfix to absolute tolerance settings.

  •  16 Jul 2010 09:06

Release Notes: 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.

  •  08 Jul 2010 23:44

Release Notes: Minor bugfixes and a slightly more natural Python API for vector-valued constraints.


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