Marc Schmidlin

PhD candidate (Philosophisch-Naturwissenschaftliche Fakultät)

I am a PhD student in Professor Helmut Harbrecht's Computational Mathematics research group.

Refereed Articles

  1. H. Harbrecht, V. Karnaev, and M. Schmidlin.
    Quantifying domain uncertainty in linear elasticity.
    Preprint 2023-06, Fachbereich Mathematik, Universität Basel, Switzerland, 2023 (to appear in SIAM/ASA J. Uncertain. Quantif.).
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. H. Harbrecht, M. Peters, and M. Schmidlin.
    Uncertainty quantification for PDEs with anisotropic random diffusion.
    SIAM J. Numer. Anal., 55(2):1002–1023, 2017.


HS21Einführung in die Numerik
HS20Numerik der Differentialgleichungen
FS20Integralgleichungen und Randelementmethode
HS19Numerik der partiellen Differentialgleichungen
FS19Projekt: Einführung in die Numerik
HS18Numerik der Differentialgleichungen
FS18Optimale Steuerung partieller Differentialgleichungen
HS17Numerik der partiellen Differentialgleichungen
FS17Einführung in die Numerik
HS16Einführung in die Statistik
FS16Algorithmische Mathematik: Graphen & Anwendungen
HS15Einführung in die Statistik
FS15Praktikum II
Computer Grafik
HS14Mathematische Methoden I
FS14Lineare Algebra II
HS13Mathematische Methoden I