Model Reduction via Proper Orthogonal Decomposition

By René Pinnau. 2008

245 citations recorded by the source corpus.

Subfields: Computational Mechanics, Statistical and Nonlinear Physics, Statistics and Probability

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. Martin Gubisch
2. Stefan Volkwein
3. Anthony Nouy
4. René Pinnau
5. Anthony T. Patera
6. Gianluigi Rozza
7. Danny C. Sorensen
8. Saifon Chaturantabut

In Statistical and Nonlinear Physics

1. Martin Gubisch
2. Stefan Volkwein
3. René Pinnau
4. Karen E. Willcox
5. Anthony T. Patera
6. Anthony Nouy
7. Alessandro Astolfi
8. Danny C. Sorensen

In Statistics and Probability

1. Martin Gubisch
2. Stefan Volkwein
3. René Pinnau
4. Karen E. Willcox
5. Anthony T. Patera
6. Anthony Nouy
7. Alessandro Astolfi
8. Danny C. Sorensen

Citations in the corpus

• Proper Orthogonal Decomposition for Linear-Quadratic Optimal Control (2013, background): “For nonlinear problems we refer the reader to [28, 57, 65].”
• Computational Reduction for Parametrized PDEs: Strategies and Applications (2012, unknown): “3For a general and synthetic introduction to POD techniques in view of the reduction of a (time-dependent) dynamical system – which is the first (and most used) application of this strategy – the interested reader may refer to [41,56].”