Model Reduction and Learning for PDE Constrained Optimization

Ohlberger, M.; Banholzer, S.; Haasdonk, B.; Keil, T., Kleikamp, H.; Mechelli, L.; Oguntola, M;, Schindler,F.; Volkwein, S.; Wenzel, T.

Abstract in journal (conference) | Peer reviewed

Details about the publication

Journal: Oberwolfach Reports (Oberwolfach Rep.)

Volume: 13/2023

Status: Published

Release year: 2023

Language in which the publication is written: English

Conference: Oberwolfach Workshop on Optimization Problems for PDEs in Weak Space-Time Form, Oberwolfach, Germany

Keywords: PDE constrained optimization; model order reduction; trust region optimization; machine learning

ML-MORE: Machine learning and model order reduction to predict the efficiency of catalytic filters. Subproject 1: Model Order Reduction (ML-MORE) Duration: 01/04/2020 - 31/12/2023 Funded by: Federal Ministry of Research, Technology and Space Type of project: Participation in federally funded joint project
Localized Reduced Basis Methods for PDE-constrained Parameter Optimization (LRB-Opt) Duration: 01/01/2019 - 30/06/2023 Funded by: DFG - Individual Grants Programme Type of project: Individual project

Parametrized optimal control and transport-dominated problems: Reduced basis methods, nonlinear reduction strategies and data driven surrogates
Candidate: Kleikamp, Hendrik | Supervisors: Ohlberger, Mario | Reviewers: Ohlberger, Mario; Breiten, Tobias
Period of time: 01/01/2021 - 19/12/2024
Doctoral examination procedure finished at: Doctoral examination procedure at University of Münster