View source for Sig Numerical Optimization / Open source optimizers

===  Open source optimizers === 

The following optimization libraries are known to work with OpenFOAM:


* [http://dakota.sandia.gov/index.html DAKOTA] - DAKOTA is an optimization library that provides algorithms for design optimization, uncertainty quantification, parameter estimation, design of experiments, and sensitivity analysis, as well as a range of parallel computing and simulation interfacing services.


* [http://openmdao.org/ OpenMDAO] - OpenMDAO is an open-source Multidisciplinary Design Analysis and Optimization (MDAO) framework, written in Python. You can use it to develop an integrated analysis and design environment for your engineering challenges.


* [http://scipy.org/ SciPy] - SciPy is a Python-based ecosystem of open-source software for mathematics, science, and engineering.  The scipy.optimize package provides several commonly used optimization algorithms.
**[http://docs.scipy.org/doc/scipy/reference/tutorial/optimize.html scipy optimization documentation (scipy.optimize)]


* [http://www.gerad.ca/nomad/Project/Home.html Nomad] - Nomad is another optimization library.  This one is included in the latest version of Dakota