Introduces direct solution methods for numerical optimal control, emphasizing problem formulation, scaling, and practical tips for successful problem solving.
Explores error estimation in numerical methods for solving ordinary differential equations, emphasizing the impact of errors on solution accuracy and stability.
Explores verification and validation in computational modeling, emphasizing accuracy through comparison with experimental data and practical advice on model complexity.
Explores error estimation in numerical methods for solving differential equations, focusing on local truncation error, stability, and Lipschitz continuity.
Students in 'Numerics for Fluids, Structures and Electromagnetics' must complete projects individually or in pairs, following specific rules and evaluation criteria.