Shape optimization under uncertainty

Vortrag von Prof. Dr. Helmut Harbrecht

Datum: 29.04.26  Zeit: 16.30 - 18.00  Raum: ETH HG G 19.2

This presentation aims to provide an overview of shape optimization in case of random input parameters. Besides the minimization of the expected objective, we also consider the minimization of failure probabilities. We show that in some situations the objective and its gradient are deterministic despite the random input. We can thus derive cheap, deterministic algorithms to minimize the objective. Several applications and numerical computations are given.