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Part of book or chapter of book . 2007
Data sources: Hal
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
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Part of book or chapter of book . 2007
https://doi.org/10.4203/csets....
Part of book or chapter of book . 2009 . Peer-reviewed
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A Mixed Domain Decomposition Approach

Authors: Champaney, Laurent; Dureisseix, David;

A Mixed Domain Decomposition Approach

Abstract

This chapter is dedicated to Professor Pierre Ladevèze on the occasion of his 60th birthday. As two former students of Pierre Ladevèze, the authors have both had the opportunity to work with domain decomposition methods in their research and teaching activities. Pierre initiated a mixed domain decomposition method within the framework of the LArge Time INcrement method. Such an approach is described herein, and its usefulness is exemplified for non-linear problems involving unilateral conditions, such as contact problems. Friction and damage can be taken into account, and an extension to a multilevel scheme is also described.

Country
France
Keywords

LATIN, multiscale, friction, [INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], [MATH.MATH-NA] Mathematics [math]/Numerical Analysis [math.NA], damage, contact

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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!
2
Average
Top 10%
Average
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