A Compact Proper Orthogonal Decomposition Basis for Optimization-Oriented Reduced-Order Models

By Kevin T. Carlberg, Charbel Farhat. 2008

56 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Statistical and Nonlinear Physics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/6f8d0d142e787ac38dfa7f6d02ca7efed0e38cd5

How researchers see this paper

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

In Control and Systems Engineering

1. Kevin T. Carlberg
2. Charbel Farhat

In Statistical and Nonlinear Physics

1. Kevin T. Carlberg
2. Charbel Farhat
3. David Amsallem
4. Philip Avery
5. Andrea Manzoni
6. Gianluigi Rozza
7. Matthew J. Zahr
8. Todd Chapman

In Statistics and Probability

1. Kevin T. Carlberg
2. Charbel Farhat
3. David Amsallem
4. Danny C. Sorensen
5. Saifon Chaturantabut
6. Andrea Manzoni
7. Gianluigi Rozza
8. Philip Avery

Citations in the corpus

• High-performance model reduction techniques in computational multiscale homogenization (2014, unknown): “[12,13,15,42].”
• A low‐cost, goal‐oriented ‘compact proper orthogonal decomposition’ basis for model reduction of static systems (2011, methodology): “The method is an extension of the work originally presented in [16] and consists of: 1) employing both the state and corresponding”