Talks

An overview about the master thesis will be given, treating numerical methods for solving a PDE-constrained optimization problem. Afterwards, an outlook on advanced numerical methods for PDEs and modelling of tsunamis will be presented.

Stein's method is a powerful technique to establish convergence in distribution of a sequence of random variables to a standard Gaussian random variable. After an introduction to this approach, its application to several problems from stochastic geometry is discussed.

This will be an introductory talk on how the fundamental assumptions of quantum mechanics are modeled and how this relies on the spectral theory of unbounded self-adjoint operators on separable Hilbert spaces.