The Optimisation Lab provides a state-of-the art suite of functions for setting up and solving optimisation problems.

Based on the SNOPT and SQOPT codes developed by Philip E. Gill, UC San Diego, and Walter Murray and Michael A. Saunders, Stanford University, it contains solvers for the optimisation of constrained linear, quadratic, and non-linear objective functions as well as constrained linear and non-linear least-squares problems. There may be a mixture of linear and non-linear constraints, and sparsity is exploited. A separate Nelder-Mead solver adds functionality for unconstrained optimisation of non-smooth functions of relatively few variables.

The module allows you to state the components of your problem easily. An algorithm then analyses the problem and chooses the most appropriate optimisation function.

The Optimisation Lab is fully integrated with COMSOL Multiphysics plus the other Modules.