Student who passed the course satisfactorily will be able to:

• apply semidefinite and conic optimisation methods to solve complex optimisation problems
• implement globalization techniques to guarantee convergence in optimisation algorithms
• use Newton-Krylov methods and nonlinear parameter estimation for large-scale and data fitting problems
• solve multi-objective and nonsmooth optimisation problems with practical algorithms