Model reduction of parametrized evolution problems using the reduced basis method with adaptive time partitioning

@inproceedings{Dihlmann2011ModelRO,
  title={Model reduction of parametrized evolution problems using the reduced basis method with adaptive time partitioning},
  author={Markus Dihlmann and Martin Drohmann and Bernard Haasdonk},
  year={2011}
}
odern simulation scenarios require real-time or many query responses from a simulation model. This is the driving force for increased efforts in model order reduction for high dimensional dynamical systems or partial differential equations. This demand for fast simulation models is even more critical for parametrized problems. There exist several snapshot-based methods for model order reduction of parametrized problems, e.g. proper orthogonal decomposition (POD) or reduced basis (RB) methods… CONTINUE READING
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Model reduction using proper orthogonal decomposition, 2008. Lecture notes, University of Graz

  • S. Volkwein
  • 2008
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