Model Order Reduction based on Proper Orthogonal Decomposition

  • Elías Cueto
  • Francisco Chinesta
  • Antonio Huerta
Chapter
Part of the CISM International Centre for Mechanical Sciences book series (CISM, volume 554)

Abstract

In this chapter we review the basics of classical model order reduction techniques based on Proper Orthogonal Decomposition (POD), Principal Component Analysis (PCA) or Karhunen-Loève decompositions.

Keywords

Proper Orthogonal Decomposition Model Reduction Model Order Reduction Geodesic Line Separate Representation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Copyright information

© CISM, Udine 2014

Authors and Affiliations

  • Elías Cueto
    • 2
  • Francisco Chinesta
    • 1
  • Antonio Huerta
    • 3
  1. 1.ESI Group Chair on Advanced Computational Manufacturing Processes, GEM, UMR CNRSEcole Centrale de NantesNantes cedex 3France
  2. 2.I3AUniversidad de ZaragozaZaragozaSpain
  3. 3.Laboratori de Calcul NumericUniversidad Politecnica de CataluñaBarcelonaSpain

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