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On the optimality of the proper orthogonal decomposition and balanced truncation
2008 47th IEEE Conference on Decision and Control, 2008The proper orthogonal decomposition (POD), also known as Karhunen-Loeve decomposition or principal component analysis, and balanced truncation, are shown to be optimal in the sense of distance minimizations in spaces of Hilbert-Schmidt or trace-class 2 integral operators. Both POD and balanced truncation are shown to be optimal approximations by finite
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Proper Orthogonal Decomposition in Option Pricing
2017In this chapter model order reduction (MOR) and the forward-backward duality are combined to generate forward and backward reduced models. We show that both resulting models are numerically efficient models and can in most situations reduce the computational effort in comparison with the full order models, when applying ADI and BDF2 time discretization
José P. Silva +3 more
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Proper orthogonal decomposition for pricing options
The Journal of Computational Finance, 2012In a paper that appeared in volume 2 (2011) of SIAM Financial Mathematics by R. Cont, N. Lantos and the author, it was shown that by writing the solution of the Black-Scholes partial dierential equation on a small set of basis functions the computing time can be dramatically reduced. In this study we show that it is in fact a P.O.D.
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Proper Orthogonal and Dynamic Mode Decomposition of Sunspot Data
Philosophical Transactions Series A, Mathematical, Physical, and Engineering Sciences, 2021Jonathan Higham +2 more
exaly
Numerical Investigation of a New Damage Detection Method Based on Proper Orthogonal Decomposition
Mechanical Systems and Signal Processing, 2007Ugo Galvanetto
exaly
Enhanced Proper Orthogonal Decomposition for the Modal Analysis of Homogeneous Structures
JVC/Journal of Vibration and Control, 2002B F Feeny
exaly
A Practical Guide for Using Proper Orthogonal Decomposition in Engine Research
International Journal of Engine Research, 2013Volker Sick, Hao Chen, David Ls Hung
exaly

