Benjamin Peherstorfer

EPFL SB MATH CMATD
MA C2 657 (Bâtiment MA)
Station 8
1015 Lausanne

EPFL SB MATH CMATD
MA C2 657 (Bâtiment MA)
Station 8
1015 Lausanne

Teaching & PhD

Courses

Advanced numerical analysis I

MATH-250

Construction and analysis of numerical methods for the solution of problems from linear algebra, integration, approximation, and differentiation.

Intrusive and non-intrusive model reduction

MATH-537

Intrusive and non-intrusive model reduction for parametrized partial differential equations and dynamical systems

Scientific machine learning

MATH-507

This course covers topics of scientific machine learning. Part I focuses on sequential-in-time training of nonlinear parametrizations for numerically solving partial differential equations. Part II treats generative modeling of physical processes. This is a project-based course.