From August 28th to 30th, 2019 a Conference on Model Reduction of Complex Dynamical Systems will be organized at the Institute of Mathematics and Scientific Computing at the University of Graz in Graz, Austria.
You can find updates about the conference on the news page.
Scientific topics include:
Computational methods for model order reduction of dynamical systems, in particular (but not limited to)
- system-theoretic methods (e.g., system balancing, Hankel norm approximation)
- rational interpolation (moment-matching, H2-optimal reduction, ...)
- POD and generalizations
- reduced basis methods
- tensor-based techniques (PGD, low-tensor-rank approximations, ...)
Data-driven methods, e.g.,
- vector fitting
- Loewner matrix and pencil based approaches
- dynamic mode decomposition (DMD)
- kernel-based methods
Surrogate modeling for design and optimization
Model reduction methods in applications, e.g.,
- network systems
- computational electromagnetics
- computational nanoelectronics
- structural mechanics
- fluid dynamics
- control of PDEs
- data assimilation
- Peter Benner (MPI Magdeburg, Germany),
- Tobias Breiten (KFU Graz, Austria),
- Heike Faßbender (TU Braunschweig, Germany),
- Michael Hinze (University of Hamburg, Germany),
- Tatjana Stykel (University of Augsburg, Germany),
- Ralf Zimmermann (SDU Odense, Denmark).
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