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2014 | OriginalPaper | Buchkapitel

10. Window Proper Orthogonal Decomposition: Application to Continuum and Atomistic Data

verfasst von : Leopold Grinberg, Mingge Deng, George Em Karniadakis, Alexander Yakhot

Erschienen in: Reduced Order Methods for Modeling and Computational Reduction

Verlag: Springer International Publishing

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Abstract

Proper Orthogonal Decomposition (POD) is a powerful tool for analyzing multidimensional data, especially of vector fields in large-scale simulations. In this article we review the Window Proper Orthogonal Decomposition (WPOD) proposed in [7] for analysis of continuum data and in [5] for analysis of atomistic fields.

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Metadaten
Titel
Window Proper Orthogonal Decomposition: Application to Continuum and Atomistic Data
verfasst von
Leopold Grinberg
Mingge Deng
George Em Karniadakis
Alexander Yakhot
Copyright-Jahr
2014
Verlag
Springer International Publishing
DOI
https://doi.org/10.1007/978-3-319-02090-7_10