Marcel Schweitzer

Room: G.15.28
Email: marcel{at}uni-wuppertal.de
Phone: +49 202 439-3773
Office hour: Wednesday, 13:00-14:00 (during teaching term, otherwise only by arrangement)
- Approximation of matrix functions
- Krylov subspace methods, in particular restarted methods
- Fréchet derivatives and condition numbers of matrix functions
- Exploiting low-rank structures in numerical computations
- Decay behavior in matrix functions
- Randomized numerical linear algebra
- Applications of numerical linear algebra techniques in network analysis
- Implicit/matrix-free trace estimation algorithms
Software related to my research:
- t-frechet: Toolbox for computing t-functions (and their Fréchet derivatives) of third-order tensors (MATLAB)
- sketched_fAb: Randomized Krylov methods for the approximation of matrix functions (MATLAB)
- FUNM_QUAD: An implementation of a stable quadrature-based restarted Arnoldi method for matrix functions (MATLAB)
Software developed by students:
- VSWorkbench: Extensible VS Code Plugin for incorporating Developer Tools (Bachelor thesis Sufyan Dahalan)
To allow young researchers in numerical linear algebra to also present their work during the Covid-19 pandemic, I organized the online seminar series "Communications in NLA" from September 2020 to May 2021, together with a few colleagues.
All talks have been recorded and can be watched on our Youtube channel.
- since 10/2021: Lecturer, Bergische Universität Wuppertal
- 04/2020 - 09/2021: Lecturer, Heinrich-Heine-Universität Düsseldorf
- 10/2017 - 03/2020: ADAS Algorithm Developer, Aptiv, Wuppertal
- 04/2017 - 08/2017: PostDoc, École Polytechnique Fédérale de Lausanne
- 02/2016 - 03/2017: PostDoc, Bergische Universität Wuppertal
- 12/2011 - 01/2016: PhD student, Bergische Universität Wuppertal
- 10/2009 - 09/2011: M.Sc. in Mathematics, Bergische Universität Wuppertal
- 10/2006 - 09/2009: B.Sc. in Mathematics, Bergische Universität Wuppertal