Physics-driven proper orthogonal decomposition: A simulation methodology for partial differential equations

A simulation methodology derived from a learning algorithm based on Proper Orthogonal Decomposition (POD) is presented to solve partial differential equations (PDEs) for physical problems of interest. Using the developed methodology, a physical problem of interest is projected onto a functional spac...

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書誌詳細

出版年:	MethodsX
主要な著者:	Alessandro Pulimeno, Graham Coates-Farley, Martin Veresko, Lin Jiang, Ming-Cheng Cheng, Yu Liu, Daqing Hou
フォーマット:	論文
言語:	英語
出版事項:	Elsevier 2023-01-01
主題:	Physics-driven simulation methodology based on Proper Orthogonal Decomposition enabled by Galerkin projection (POD-GP)
オンライン･アクセス:	http://www.sciencedirect.com/science/article/pii/S2215016123002030