Alexander Heinlein

TU Delft
DIAM, Faculty of EEMCS
Numerical Analysis
Mekelweg 4, 2628 CD Delft
Room HB 03.290
Tel.: +31 (0)15 27 89135
Alexander Heinlein is assistant professor in the Numerical Analysis group of the Delft Institute of Applied Mathematics (DIAM), Faculty of Electrical Engineering, Mathematics & Computer Science (EEMCS), at the Delft University of Technology (TU Delft).
His main research areas are numerical methods for partial differential equations and scientific computing, in particular, solvers and discretizations based on domain decomposition and multiscale approaches. He is interested in high-performance computing (HPC) and solving challenging problems involving, e.g., complex geometries, highly heterogenous coefficient functions, or the coupling of multiple physics. More recently, Alexander also started focusing on the combination of scientific computing and machine learning, a new research area also known as scientific machine learning (SciML). Generally, his work includes the development of new methods and their theoretical foundation as well as their implementation on current computer architectures (CPUs, GPUs) and application to real world problems.
news
Jun 12, 2022 | I am co-organizing two mini-symposia at the 7th International Domain Decomposition Conference (DD27) in Prague, July 25-29, 2022: MS4: Spectral Coarse Spaces in Domain Decomposition Methods and Multiscale Discretizations together with Vitorita Dolean Maini (University of Strathclyde and Cote d’Azur University) and Kathrin Semtana (Stevens Institute of Technology) and MS9: Learning Algorithms, Domain Decomposition Methods, and Applications together with Xiao-Chuan Cai (University of Macau) and Axel Klawonn (University of Cologne). |
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Jun 9, 2022 | I will give an invited plenary lecture on Robust, algebraic, and scalable Schwarz preconditioners with extension-based coarse spaces at the 7th International Domain Decomposition Conference (DD27) in Prague, July 25-29, 2022. |
Jun 9, 2022 | At the 8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2022), Oslo, June 5 - 9, I gave an introductory lecture on Parallel Schwarz domain decomposition preconditioning and an introduction to FROSch; see the slides and the accompanying GitHub repository with the demo code. |