Description
Large-scale nonlinear optimization problems can be solved with an interior-point optimizer. It is useful for researchers, engineers, and developers modeling constrained continuous optimization problems.
Optimization results depend on model quality, derivatives, scaling, tolerances, and solver status. Validate solutions before using them for physical, financial, or operational decisions.