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ECL BENCHMARK: APPLICATION OF THE PROPER ORTHOGONAL DECOMPOSITION

Mechanical Systems and Signal Processing, 2003
The aim of this paper is to apply the proper orthogonal decomposition method to a non-linear system consisting of an experimental cantilever beam with a geometrical non-linearity.
Lenaerts, Vincent   +2 more
openaire   +2 more sources

Probabilistic Proper Orthogonal Decomposition

2010
Proper Orthogonal Decomposition (POD) is a method with much potential for identifying, locating and quantifying damage in structures [1-3]. POD can be interpreted as the maximum-likelihood solution to a probabilistic model called Probabilistic Principal Component Analysis (PPCA) [4].
HENSMAN J   +3 more
openaire   +1 more source

Observations on the Proper Orthogonal Decomposition

1992
The 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.
openaire   +1 more source

Proper Orthogonal Decomposition in Option Pricing

2017
In 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
openaire   +1 more source

Click and Bio-Orthogonal Reactions with Mesoionic Compounds

Chemical Reviews, 2021
Margaux Riomet   +2 more
exaly  

Putting precision and elegance in enzyme immobilisation with bio-orthogonal chemistry

Chemical Society Reviews, 2022
Xiaolin Pei, Jun Xu, Anming Wang
exaly  

Reduced-Order Modeling for Complex Flow Emulation by Common Kernel-Smoothed Proper Orthogonal Decomposition

, 2021
Yu-Hung Chang   +6 more
semanticscholar   +1 more source

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