A Novel Approach to Find Pseudo–peripheral Vertices for Snay’s Heuristic

Bibliographic Details
Main Author: OLIVEIRA,S.L. GONZAGA DE
Publication Date: 2018
Other Authors: BERNARDES,J.A.B.
Format: Article
Language: eng
Source: TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online)
Download full: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-84512018000100001
Summary: ABSTRACT The solution of linear systems represented by Ax=b is fundamental in many numerical simulations in science and engineering. Reducing the profile of A can reduce the storage requirements and time processing costs of solving such linear systems. In this work, we propose a generalized algorithm for finding pseudo-peripheral vertices for Snay’s heuristic. In experiment performed on 36 instances contained in the Harwell-Boeing and SuiteSparse matrix collections, it has been found that the number of pseudo-peripheral vertices selected in Snay’s heuristic may be suitable for small instances, but it is insufficient to obtain reasonable results in instances that are not small. This paper recommends to select up to 26% (0.3%) of pseudo-peripheral vertices in relation to the instance size when applied to instances smaller than 3,000 (larger than 20,000) vertices.
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spelling A Novel Approach to Find Pseudo–peripheral Vertices for Snay’s HeuristicProfile reductionsparse matrixreordering algorithmsABSTRACT The solution of linear systems represented by Ax=b is fundamental in many numerical simulations in science and engineering. Reducing the profile of A can reduce the storage requirements and time processing costs of solving such linear systems. In this work, we propose a generalized algorithm for finding pseudo-peripheral vertices for Snay’s heuristic. In experiment performed on 36 instances contained in the Harwell-Boeing and SuiteSparse matrix collections, it has been found that the number of pseudo-peripheral vertices selected in Snay’s heuristic may be suitable for small instances, but it is insufficient to obtain reasonable results in instances that are not small. This paper recommends to select up to 26% (0.3%) of pseudo-peripheral vertices in relation to the instance size when applied to instances smaller than 3,000 (larger than 20,000) vertices.Sociedade Brasileira de Matemática Aplicada e Computacional2018-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-84512018000100001TEMA (São Carlos) v.19 n.1 2018reponame:TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online)instname:Sociedade Brasileira de Matemática Aplicada e Computacionalinstacron:SBMAC10.5540/tema.2018.019.01.0001info:eu-repo/semantics/openAccessOLIVEIRA,S.L. GONZAGA DEBERNARDES,J.A.B.eng2018-05-29T00:00:00Zoai:scielo:S2179-84512018000100001Revistahttp://www.scielo.br/temaPUBhttps://old.scielo.br/oai/scielo-oai.phpcastelo@icmc.usp.br2179-84511677-1966opendoar:2018-05-29T00:00TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online) - Sociedade Brasileira de Matemática Aplicada e Computacionalfalse
dc.title.none.fl_str_mv A Novel Approach to Find Pseudo–peripheral Vertices for Snay’s Heuristic
title A Novel Approach to Find Pseudo–peripheral Vertices for Snay’s Heuristic
spellingShingle A Novel Approach to Find Pseudo–peripheral Vertices for Snay’s Heuristic
OLIVEIRA,S.L. GONZAGA DE
Profile reduction
sparse matrix
reordering algorithms
title_short A Novel Approach to Find Pseudo–peripheral Vertices for Snay’s Heuristic
title_full A Novel Approach to Find Pseudo–peripheral Vertices for Snay’s Heuristic
title_fullStr A Novel Approach to Find Pseudo–peripheral Vertices for Snay’s Heuristic
title_full_unstemmed A Novel Approach to Find Pseudo–peripheral Vertices for Snay’s Heuristic
title_sort A Novel Approach to Find Pseudo–peripheral Vertices for Snay’s Heuristic
author OLIVEIRA,S.L. GONZAGA DE
author_facet OLIVEIRA,S.L. GONZAGA DE
BERNARDES,J.A.B.
author_role author
author2 BERNARDES,J.A.B.
author2_role author
dc.contributor.author.fl_str_mv OLIVEIRA,S.L. GONZAGA DE
BERNARDES,J.A.B.
dc.subject.por.fl_str_mv Profile reduction
sparse matrix
reordering algorithms
topic Profile reduction
sparse matrix
reordering algorithms
description ABSTRACT The solution of linear systems represented by Ax=b is fundamental in many numerical simulations in science and engineering. Reducing the profile of A can reduce the storage requirements and time processing costs of solving such linear systems. In this work, we propose a generalized algorithm for finding pseudo-peripheral vertices for Snay’s heuristic. In experiment performed on 36 instances contained in the Harwell-Boeing and SuiteSparse matrix collections, it has been found that the number of pseudo-peripheral vertices selected in Snay’s heuristic may be suitable for small instances, but it is insufficient to obtain reasonable results in instances that are not small. This paper recommends to select up to 26% (0.3%) of pseudo-peripheral vertices in relation to the instance size when applied to instances smaller than 3,000 (larger than 20,000) vertices.
publishDate 2018
dc.date.none.fl_str_mv 2018-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-84512018000100001
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-84512018000100001
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.5540/tema.2018.019.01.0001
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Matemática Aplicada e Computacional
publisher.none.fl_str_mv Sociedade Brasileira de Matemática Aplicada e Computacional
dc.source.none.fl_str_mv TEMA (São Carlos) v.19 n.1 2018
reponame:TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online)
instname:Sociedade Brasileira de Matemática Aplicada e Computacional
instacron:SBMAC
instname_str Sociedade Brasileira de Matemática Aplicada e Computacional
instacron_str SBMAC
institution SBMAC
reponame_str TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online)
collection TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online)
repository.name.fl_str_mv TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online) - Sociedade Brasileira de Matemática Aplicada e Computacional
repository.mail.fl_str_mv castelo@icmc.usp.br
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