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Procedia Computer Science
Article . 2011 . Peer-reviewed
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Procedia Computer Science
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Procedia Computer Science
Article . 2011
License: CC BY NC ND
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Computational complexity and memory usage for multi-frontal direct solvers used in p finite element analysis

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Jan 2011 English Publisher:Elsevier BVJournal:Procedia Computer Science, volume 4, pages 1,854-1,861 (issn: 1877-0509, Copyright policy )
Authors: Victor M. Calo; Nathan O. Collier; David Pardo; Maciej Paszynski;

doi: 10.1016/j.procs.2011.04.201

Computational complexity and memory usage for multi-frontal direct solvers used in p finite element analysis

Abstract

AbstractThe multi-frontal direct solver is the state of the art for the direct solution of linear systems. This paper provides computational complexity and memory usage estimates for the application of the multi-frontal direct solver algorithm on linear systems resulting from p finite elements. Specifically we provide the estimates for systems resulting from C0 polynomial spaces spanned by B-splines. The structured grid and uniform polynomial order used in isogeometric meshes simplifies the analysis.

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Keywords

memory usage, computational complexity, Multi-frontal direct solver

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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!
28
Top 10%
Top 10%
Top 10%
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