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Outstanding Issues in Model Order Reduction

  • João M. S. Silva
  • Jorge Fernández Villena
  • Paulo Flores
  • L. Miguel Silveira
Part of the Mathematics in Industry book series (MATHINDUSTRY, volume 11)

Summary

With roots dating back to many years ago and applications in a wide variety of areas, model order reduction has emerged in the last few decades as a crucial step in the simulation, control, and optimization of complex physical systems. Reducing the order or dimension of models of such systems, is paramount to enabling their simulation and verification. While much progress has been achieved in the last few years regarding the robustness, efficiency and applicability of these techniques, certain problems of relevance still pose difficulties or renewed challenges that are not satisfactorily solved with the existing approaches. Furthermore, new applications for which dimension reduction is crucial, are becoming increasingly relevant, raising new issues in the quest for increased performance.

Keywords

Model order reduction massively coupled systems orthogonal projection parametric systems circuit simulation 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • João M. S. Silva
    • 1
  • Jorge Fernández Villena
    • 2
  • Paulo Flores
    • 3
  • L. Miguel Silveira
    • 4
  1. 1.INESC ID / Instituto Superior TécnicoTechnical University of LisbonLisboaPortugal
  2. 2.INESC ID / Instituto Superior TécnicoTechnical University of LisbonLisboaPortugal
  3. 3.INESC ID / Instituto Superior TécnicoTechnical University of LisbonLisboaPortugal
  4. 4.INESC ID / Instituto Superior TécnicoTechnical University of LisbonLisboaPortugal

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