Our research and teaching address a wide range of directions in modern applied mathematics: Mathematical modelling, applied analysis, stochastic techniques and scientific computing provide the theoretical and practical background to understand, predict and optimise highly complex processes in engineering, life, social and natural sciences. Numerical simulation has become the key technology to address these core questions of the University’s scientific and strategic orientation.
Quicklinks
Interactive mobile computing using reduced models
Flow field around a NACA airfoil by domain decomposition and RB-methods
Simulation of two-phase flow utilizing a moving mesh method
Compressible effects during droplet impingement on a perfect wall
Flow though a porous medium on the pore scale
Adaptive Discontinuous Galerkin Method for a 3D saturation problem
Solution to a PDE with random jump-diffusion coefficient
Solution to a stochastic transport problem with Lévy noise
A posteriori error estimation for the obstacle problem
Our research involves developing, analyzing and implementing new numerical techniques in both problem-specific and more fundamental settings, and we are equally interested in multidisciplinary applications and theoretical foundations, connecting engineering, natural and computer sciences. We are involved in various national, international and industrial collaborations.
See below for more detailed information about our Institute.
Dominik Göddeke
Head of Institute and Head of Group
- +49 711 685-62022
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