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.

The conference continues a series of model reduction conferences previously organized in Berlin (2010), Magdeburg (2013), and Odense (2017).

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

Keynote Speakers:

Scientific Commitee:

  • Peter Benner (MPI Magdeburg, Germany),
  • Tobias Breiten (KFU Graz, Austria),
  • Heike Fa├čbender (TU Braunschweig, Germany),
  • Michael Hinze (University of Hamburg, Germany),
  • Tatjana Stykel (University of Augsburg, Germany),
  • Ralf Zimmermann (SDU Odense, Denmark).

Organizers: Tobias Breiten and Karl Kunisch.

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