Low-Dimensional Modelling of Turbulence Using the Proper Orthogonal Decomposition: A Tutorial

By Troy R. Smith, Jeff Moehlis, Philip J. Holmes. 2005

244 citations recorded by the source corpus.

Subfields: Computational Mechanics, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/f53c354b687b5d5f66275470a08ffba18becb953

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. Barton L Smith
2. J. Charonko
3. M. Emran
4. Jörg Schumacher
5. Jorge Bailon-Cuba
6. Pavlos P. Vlachos
7. Cameron V. King
8. B. W. van Oudheusden

In Statistical and Nonlinear Physics

1. B. W. van Oudheusden
2. Fulvio Scarano

Citations in the corpus

• Assessment of pressure field calculations from particle image velocimetry measurements (2010, methodology): “POD, also known as Karhunen–Loéve decomposition, is too complex a technique to fully explain here, but the interested reader is referred to review articles by Berkooz et al [25] and Smith et al [26].”
• Aspect ratio dependence of heat transfer and large-scale flow in turbulent convection (2010, background): “The reader is referred to Smith et al. (2005) for a compact tutorial on this subject.”