Title	Localized Spectral Decomposition (LSD): a robust and efficient finite element method for solving elliptic PDEs
Creator	Madureira, Alexandre
Publisher	Banff International Research Station for Mathematical Innovation and Discovery
Date Issued	2018-08-02T09:46
Description	The Localized Spectral Decomposition finite element method is based on a hybrid formulation of elliptic partial differential equations, that is then transformed via several space decompositions. Such decompositions make the fomulation embarrassingly parallel and efficient, in particular in the presence of multiscale coefficients. It differs from most of the methods out there since it requires solution's minimum regularity. Also, it is robust with respect to high contrast coefficients.
Extent	29.0
Subject	Mathematics; Numerical analysis; Partial differential equations
Type	Moving Image
File Format	video/mp4
Language	eng
Notes	Author affiliation: Laboratorio Nacional de Computacao Cientifica
Series	BIRS Workshop Lecture Videos (Oaxaca de Juárez (Mexico))
Date Available	2019-03-17
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0377028
URI	http://hdl.handle.net/2429/68841
Affiliation	Non UBC
Peer Review Status	Unreviewed
Scholarly Level	Faculty
Rights URI	http://creativecommons.org/licenses/by-nc-nd/4.0/
Aggregated Source Repository	DSpace

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