 |
Bayesian multi-fidelity inverse analysis for computationally demanding models in high stochastic dimensions
1 : Institute for Computational Mechanics, Professorship of Data-driven Materials Modeling, Technical University of Munich
2 : Institute for Computational Mechanics, Munich Data Science Institute (MDSI - Core Member), Technical University of Munich
3 : Professorship of Data-driven Materials Modeling, Munich Data Science Institute (MDSI - Core Member), Technical University of Munich
| Subject : | : | poster |
| Topics | : | Multifidelity methods |
| Topics | : | Poster Blitz |
| PDF version | : |  PDF version |
