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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 Computational Mechan...arrow_drop_down
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Computational Mechanics
Article . 2003 . Peer-reviewed
License: Springer TDM
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Iterative solutions for implicit Time Discontinuous Galerkin methods applied to non-linear elastodynamics

Iterative solutions for implicit time discontinuous Galerkin methods applied to nonlinear elastodynamics
Authors: Bonelli, Alessio; Bursi, Oreste Salvatore;

Iterative solutions for implicit Time Discontinuous Galerkin methods applied to non-linear elastodynamics

Abstract

zbMATH Open Web Interface contents unavailable due to conflicting licenses.

Country
Italy
Related Organizations
Keywords

Time Discontinuous Galerkin methods, Low-computational expense, Iterative methods, Numerical approximation of solutions of dynamical problems in solid mechanics, Nonlinear dynamics

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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!
12
Average
Top 10%
Average
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