Model Reduction and Surrogate Modeling (MORE)

19-23 Sep 2022 Berlin (Germany)

Berlin panorama A_Peach, CC BY 2.0, via Wikimedia Commons

Tensor Galerkin Proper Orthogonal Decomposition for Uncertainty Quantification of PDEs with Random Parameters
Jan Heiland  1, @  , Peter Benner  1  
1 : Max Planck Institute for Dynamics of Complex Technical Systems
Subject : : poster
Topics : MOR for uncertainty quantification
Topics : Poster Blitz
PDF version :  PDF version
Online user: 2 Privacy
Loading...