pyOptSparse is an object-oriented framework for formulating and solving nonlinear constrained optimization problems in an efficient, reusable, and portable manner. Some key features of pyOptSparse include:

  • Object-oriented development, which maintains independence between the optimization problem formulation and its solution by different optimizers

  • The use of sparse matrices throughout the code, to more efficiently handle large-scale optimization problems

  • Parallel model execution under MPI, both for expensive analyses that must be done in parallel, and for parallel function evaluation when using certain gradient-free optimizers

  • The optimization histories can be stored during the optimization process, and a partial history can also be used to hot-restart the optimization

  • A post-processing GUI utility called OptView to analyze optimization results

pyOptSparse is a fork of pyOpt. However, it is not backwards compatible with pyOpt and thus optimization scripts will need to be modified to use pyOptSparse.

Getting Started

To get started, please see the Installation Instructions and the Quickstart.