Explores explicit stabilised Runge-Kutta methods and their application to Bayesian inverse problems, covering optimization, sampling, and numerical experiments.
Explores error estimation in numerical methods for solving ordinary differential equations, emphasizing the impact of errors on solution accuracy and stability.
Students in 'Numerics for Fluids, Structures and Electromagnetics' must complete projects individually or in pairs, following specific rules and evaluation criteria.
