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Observations on the Proper Orthogonal Decomposition
1992The Proper Orthogonal Decomposition (P.O.D.), also known as the Karhunen-Loeve expansion, is a procedure for decomposing a stochastic field in an L2 optimal sense. It is used in diverse disciplines from image processing to turbulence. Recently the P.O.D.
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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 of large-eddy simulation data over real urban morphology
Sustainable Cities and Society, 2023Yixun Liu +2 more
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Reduced order modeling of nonlinear microstructures through Proper Orthogonal Decomposition
Mechanical Systems and Signal Processing, 2022Giorgio Gobat +2 more
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The Proper Orthogonal Decomposition in the Analysis of Turbulent Flows
Annual Review of Fluid Mechanics, 1993Andrew C Poje
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