This talk will discuss the global optimization functionality in Wolfram Language. It builds upon the convex and convertible to convex optimization functionality developed previously and extends to functionality for solving nonlinear, nonconvex problems with real-valued and mixed-integer variables. Available methods and library solvers will be discussed and illustrated by examples.
