Version 2.2 of NLopt
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.
Other releases
Release Notes: This release adds minor bugfixes and adds a new optimization algorithm (a preconditioned CCSA variant).
Release Notes: Various minor bugfixes.
Release Notes: Various fixes to compile under Microsoft Visual Studio, as well a bugfix to absolute tolerance settings.
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.
Release Notes: Minor bugfixes and a slightly more natural Python API for vector-valued constraints.
