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In order to establish a fruitful connection between the Max Planck Institute for the Dynamics of Complex Technical Systems and the RWTH Aachen we are holding a workshop titled "Parametric Model Order Reduction." Parametric model reduction has become an essential tool in many modern applications and this meeting is intended on showing some state-of-the-art techniques to achieve an efficient reduced representation of the full model. Please contact Martin Stoll (stollm@mpi-magdeburg.mpg.de) if you have any questions.
Room: | MPI Magdeburg, V0.05 |
Date: | 07/05/2011 |
Time | Name | Title of the Talk |
---|---|---|
05.07.2011 | ||
09.00 | Tobias Breiten | Recent advances in bilinear model reduction with application to parameter-varying systems |
09.30 | Lihong Feng | Parametric Model Order Reduction based on Multi-moment Matching |
10.00 | Michael Mangold | Application of POD to reduced order modeling of a crystallizer for urea production |
10.30 | Coffee | |
11.00 | Karen Veroy | An RB Overview: From Error Estimation to Parameter Estimation |
11.30 | Martin Grepl | Reduced Basis A Posteriori Error Bounds for Linear-Quadratic Elliptic Optimal Control Problems |
12.00 | Lunch | |
13.00 | Ulrike Baur | Model Reduction for Parametric Systems using Balanced Truncation and Interpolation |
13:30 | Anna-Lena Gerner | The Certified Reduced Basis Method for Saddle Point Problems |
14:00 | Coffee | |
14.30 | PhD student session |