Conference Agenda

Session
S15.07: Uncertainty quantification
Time:
Thursday, 21/Feb/2019:
2:00pm - 4:00pm

Session Chair: Hanno Gottschalk
Location: HS 07

Presentations
2:00pm - 2:20pm

Stochastic approximation for PDE constrained optimization under uncertainty

C. Geiersbach, G. Pflug

University of Vienna, Austria



2:20pm - 2:40pm

Variational Monte Carlo - bridging concepts of machine learning and high dimensional partial differential equations

M. Eigel2, R. Schneider1, P. Trunschke1, S. Wolf1

1Technische Universität Berlin, Germany; 2Weierstraß-Institut für Angewandte Analysis und Stochastik, Germany



2:40pm - 3:00pm

Uncertainty quantification for the inflow control in hyperbolic supply systems with uncertain demand

S. Göttlich, O. Kolb, K. Lux

University of Mannheim, Germany



3:00pm - 3:20pm

Efficient yield optimization of electromagnetic devices

M. Fuhrländer, S. Schöps

TU Darmstadt, Germany



3:20pm - 3:40pm

Kriging assisted Particle Swarm Optimization for efficient non-intrusive interval analysis

N. Le Carrer1, D. Moens2, M. Faes2

1University of Liverpool, United Kingdom; 2KU Leuven, Belgium



3:40pm - 4:00pm

Robust aerodynamic design optimization via primal-dual aggregation method

E. Özkaya, N. R. Gauger

TU Kaiserslautern, Germany