Students in 'Numerics for Fluids, Structures and Electromagnetics' must complete projects individually or in pairs, following specific rules and evaluation criteria.
Explores explicit stabilised Runge-Kutta methods and their application to Bayesian inverse problems, covering optimization, sampling, and numerical experiments.
