Model Reduction and Surrogate Modeling (MORE)

19-23 Sep 2022 Berlin (Germany)

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Program

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Monday, September 19, 2022 ›

12:00

13:00

14:00

15:00

16:00

17:00

18:00

19:00

20:00

21:00

›12:45 (45min)

Registration

12:45 - 13:30 (45min)

Registration

Welcome of participants (H 3005)

›13:30 (30min)

Opening

› H 1012

13:30 - 14:00 (30min)

Opening

H 1012

›14:00 (45min)

Plenary
Chair: Mario Ohlberger

› H 1012

14:00 - 14:45 (45min)

Plenary

H 1012

Chair: Mario Ohlberger

› Nonlinear balanced truncation: Scalable computation and manifold reduction - Boris Kramer, University of California, San Diego 14:00-14:45 (45min)

›14:50 (1h15)

Session 1
Chair: Mario Ohlberger

› H 1012

14:50 - 16:05 (1h15)

Session 1

H 1012

Chair: Mario Ohlberger

› Probabilistic reduced basis method for parameter-dependent problems - Marie BILLAUD FRIESS, Laboratoire de Mathématiques Jean Leray 14:50-15:15 (25min)

› Stability Analysis of Reduced Basis Model Predictive Control for Parametrized Optimal Control Problems - Saskia Dietze, RWTH Aachen University 15:15-15:40 (25min)

› Solving parametric PDEs with an enhanced model reduction method based on Linear/Ridge expansions - Constantin Greif, Ulm University 15:40-16:05 (25min)

›16:05 (25min)

Coffee break

› H 3005/3006

16:05 - 16:30 (25min)

Coffee break

H 3005/3006

›16:30 (1h15)

Parallel Session 1a
Chair: Volker Mehrmann

› H 1012

16:30 - 17:45 (1h15)

Parallel Session 1a

H 1012

Chair: Volker Mehrmann

› Data-driven learning of coarse basis functions in adaptive FETI-DP - Axel Klawonn, Department of Mathematics and Computer Science, Center for Data and Simulation Science 16:30-16:55 (25min)

› Data-driven model order reduction with the p-AAA algorithm - Linus Balicki, Department of Mathematics, Virginia Polytechnic Institute and State University 16:55-17:20 (25min)

› Data-driven reduced-order modeling of thermo-mechanical models of machine tools - Quirin Aumann, Chemnitz University of Technology / Technische Universität Chemnitz 17:20-17:45 (25min)

›16:30 (1h15)

Parallel Session 1b
Chair: Lihong Feng

› H 1058

16:30 - 17:45 (1h15)

Parallel Session 1b

H 1058

Chair: Lihong Feng

› Stochastic reduced order models for Bayesian estimation problems in fluid mechanics - valentin resseguier, Optimisation des procédés en Agriculture, Agroalimentaire et Environnement, Lab SCALIAN 16:30-16:55 (25min)

› A Reduced Basis Ensemble Kalman Method - Francesco Attilio Bruno Silva, Eindhoven University of Technology 16:55-17:20 (25min)

› Adapting Reduced Models for Importance Sampling - Patrick Héas, Institut National de Recherche en Informatique et en Automatique 17:20-17:45 (25min)

›17:45 (1h15)

Parallel Session 2a
Chair: Volker Mehrmann

› H 1012

17:45 - 19:00 (1h15)

Parallel Session 2a

H 1012

Chair: Volker Mehrmann

› Data-Driven Enhanced Model Reduction for Bifurcating Models in Computational Fluid Dynamics - Martin Hess, SISSA MathLab [Trieste] 17:45-18:10 (25min)

› Data driven reduced modelling of the Vlasov-Poisson equation - Guillaume Steimer, Inria Nancy - Grand Est, Institut de Recherche Mathématique Avancée 18:10-18:35 (25min)

›17:45 (1h15)

Parallel Session 2b
Chair: Lihong Feng

› H 1058

17:45 - 19:00 (1h15)

Parallel Session 2b

H 1058

Chair: Lihong Feng

› Parametric dynamic mode decomposition for nonlinear parametric dynamical systems - Shuwen Sun, Max Planck Institute for Dynamics of Complex Technical Systems 17:45-18:10 (25min)

› Dominant Subspaces of High-Fidelity Nonlinear Structured Parametric Dynamical Systems and Model Reduction - Igor Pontes Duff, Max Planck Institute for Dynamics of Complex Technical Systems 18:10-18:35 (25min)

› A greedy MOR method for the tracking of eigensolutions to parametric PDEs - Francesca Bonizzoni, Faculty of Mathematics, University of Augsburg 18:35-19:00 (25min)

›19:30 (2h)

Welcome Reception

› A Foyer

19:30 - 21:30 (2h)

Welcome Reception

A Foyer

Session

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