Session A6 - Mathematical Foundations of Data Assimilation and Inverse Problems
July 12, 15:00 ~ 15:30 - Room T1
Localized Model Reduction for Data Assimilation and Inverse Problems
University of Muenster, Germany - email@example.com
Data assimilation and large scale inverse problems pose sever challenges to numerical methods due to their high computational complexity. In this contribution we present novel model reduction approaches to handle such problems. In particular, we focus on localized model reduction with online enrichment, as well as on combined parameter and state reduction.
Joint work with Christian Himpe (MPI Magdeburg), Stephan Rave (University of Muenster), Felix Schindler (University of Muenster).