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Computer Methods in Applied Mechanics and Engineering
Article . 2016 . Peer-reviewed
License: Elsevier TDM
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
zbMATH Open
Article . 2016
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https://dx.doi.org/10.1016/j.c...
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Least-squares mixed generalized multiscale finite element method

descriptionPublicationkeyboard_double_arrow_right Article 01 Nov 2016 English Publisher:Elsevier BVJournal:Computer Methods in Applied Mechanics and Engineering, volume 311, pages 764-787 (issn: 0045-7825, Copyright policy )
Authors: Chen, Fuchen; Chung, Eric; Jiang, Lijian;

doi: 10.1016/j.cma.2016.09.010

Least-squares mixed generalized multiscale finite element method

Abstract

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Keywords

least-squares mixed formulation, high-contrast coefficients, flux correction, Flows in porous media; filtration; seepage, generalized multiscale finite element method, Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs, Finite element methods applied to problems in fluid mechanics

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Top 10%
Top 10%
Top 10%
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