Computational Mathematics for Complex Simulation in Science and Engineering

Our mission is to bridge the gap between Numerical Mathematics on the one hand, and Computer Science and Applications on the other hand. Only interdisciplinary approaches can provide a reasonable balance of provability, applicabilty and actual implementations, and this predominantly drives our research: We target both applications and foundation research. Current focus areas include, but are not limited to iterative solvers (in particular multigrid and domain decomposition methods), the development of highly efficient parallel mathematical software, inverse problems, and the realisation of numerical techniques for unconventional hardware such as GPUs.

The chair CMCS is part of the Institute for Applied Analysis and Numerical Simulation. In addition, close relations exist to SC SimTech as co-opted fellow, and PI in the Cluster of Excellence 2075. Our research is furthermore supported by the German Research Foundation (DFG) within the Priority Programme 2311 and the National Research Data Initiative  (NFDI).