Methods for Constrained Local and Global Optimization

Constrained optimization algorithms have been under active development in recent years, with numerous open-source and commercial library solvers emerging for convex, nonconvex, local and global optimization. This talk will cover the Wolfram Language numerical optimization functions for constrained local and global optimization, how they classify and process the inputs into the form required by different solvers and the increasing availability of solvers that can be called through the method option.