Conference abstracts

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

Mario Ohlberger

University of Muenster, Germany   -

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).

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FoCM 2017, based on a nodethirtythree design.