Description
Nonlinear optimization problems can be approached with convex over- and under-envelope techniques. It is useful for researchers and advanced users solving difficult nonconvex MINLP models through the Couenne solver.
Nonlinear global optimization is sensitive to model formulation and numerical bounds. Validate results and solver status before using them for engineering or business decisions.