Prof. Dr. Matthias Ehrhardt
Professor for Applied Mathematics
Modeling, analysis and numerical simulation of ordinary and partial differential equations, and port-Hamiltonian systems.
Artificial boundary conditions for partial differential equations on metric graphs, combination method, sparse grids, nonstandard finite difference methods, space mapping, numerical methods enhanced by machine learning, Lattice-Boltzmann methods in fluid dynamics, numerical simulations in underwater acoustics.
Computational Physics, Computational Acoustics, Epidemiology and Computational Finance
Prefered Topics for Bachelor/Master Theses
any topics of the above focal areas
Introduction into numerical analysis, introduction into numerical analysis of ODES, numerical analysis and simulation I: ODEs, numerical analysis and simulation II: PDEs, computational finance I & II