Dr. Marc Schmidlin
Assistent / PostDoc (FG Harbrecht (CM))
Büro
Spiegelgasse 1
4051
Basel
Schweiz
I am a PostDoc in Professor Helmut Harbrecht's Computational Mathematics research group.
Refereed Articles
- H. Harbrecht, V. Karnaev, and M. Schmidlin.
Quantifying domain uncertainty in linear elasticity.
SIAM/ASA J. Uncertain. Quantif., 12(2):503–523, 2024. - H. Harbrecht, M. Schmidlin, and Ch. Schwab.
The Gevrey class implicit mapping theorem with application to UQ of semilinear elliptic PDEs.
Math. Mod. Meth. Appl. Sci., 34(5):881–917, 2024. - L.N. Felber, H. Harbrecht, and M. Schmidlin.
Identification of sparsely representable diffusion parameters in elliptic problems.
SIAM J. Imaging Sci., 17:1:61–90, 2024. - S. Ben Bader, H. Harbrecht, R. Krause, M. Multerer, A. Quaglino, and M. Schmidlin.
Space-time multilevel quadrature methods and their application for cardiac electrophysiology.
SIAM/ASA J. Uncertain. Quantif., 11(4):1329–1356, 2023. - H. Harbrecht and M. Schmidlin.
Multilevel quadrature for elliptic problems on random domains by the coupling of FEM and BEM.
Stoch. Partial Differ. Equ. Anal. Comput., 10:1619–1650, 2022. - H. Harbrecht and M. Schmidlin.
Multilevel methods for uncertainty quantification of elliptic PDEs with random anisotropic diffusion.
Stoch. Partial Differ. Equ. Anal. Comput., 8(1):54–81, 2020. - H. Harbrecht, M. Peters, and M. Schmidlin.
Uncertainty quantification for PDEs with anisotropic random diffusion.
SIAM J. Numer. Anal., 55(2):1002–1023, 2017.
Theses
- M. Schmidlin.
Regularity Analysis for Semilinear Elliptic PDEs with Random Data.
PhD Thesis, University of Basel, 2024. doi: 10.5451/unibas-ep96377 - M. Schmidlin.
Uncertainty Quantification for PDEs with Anisotropic Random Diffusion.
Master’s Thesis, University of Basel, 2016.
Teaching
as a PostDoc
HS24 | Numerik der partiellen Differentialgleichungen |
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as a PhD student
FS21 | Einführung in die Numerik |
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HS20 | Numerik der Differentialgleichungen |
FS20 | Integralgleichungen und Randelementmethode |
HS19 | Numerik der partiellen Differentialgleichungen |
FS19 | Projekt: Einführung in die Numerik |
HS18 | Numerik der Differentialgleichungen |
FS18 | Optimale Steuerung partieller Differentialgleichungen |
HS17 | Numerik der partiellen Differentialgleichungen |
FS17 | Einführung in die Numerik |
HS16 | Einführung in die Statistik |
as a student
FS16 | Algorithmische Mathematik: Graphen & Anwendungen |
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HS15 | Einführung in die Statistik |
FS15 | Praktikum II Computer Grafik |
HS14 | Mathematische Methoden I |
FS14 | Lineare Algebra II |
HS13 | Mathematische Methoden I |