The workshop was held at the University of Graz from August 28 to 30, 2019.
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
Keynote Speakers:
- Serkan Gugercin
- Bernard Haasdonk
- Laura Iapichino
- J. Nathan Kutz
- Utz Wever (Siemens)
Scientific Commitee:
- 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).