A novel approach to find pseudo-peripheral vertices for Snay’s Heuristic

Detalhes bibliográficos
Autor(a) principal: Oliveira, S. L. Gonzaga de
Data de Publicação: 2018
Outros Autores: Bernardes, J. A. B.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFLA
Texto Completo: https://repositorio.ufla.br/handle/1/34724
Resumo: 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 2019-06-12T12:23:22Z2019-06-12T12:23:22Z2018OLIVEIRA, S. L. G. de; BERNARDES, J. A. B. A novel approach to find pseudo-peripheral vertices for Snay’s Heuristic. Tendencias em Matemática Aplicada e Computacional, São Carlos,v. 19, n. 1, p. 1-13, 2018.https://repositorio.ufla.br/handle/1/34724The 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 ComputacionalAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessTendencias em Matemática Aplicada e Computacionalreponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAProfile reductionSparse matrixReordering algorithmsA novel approach to find pseudo-peripheral vertices for Snay’s Heuristicinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleOliveira, S. L. Gonzaga deBernardes, J. A. B.engORIGINALARTIGO_A novel approach to find pseudo-peripheral vertices for Snay’s Heuristic.pdfARTIGO_A novel approach to find pseudo-peripheral vertices for Snay’s Heuristic.pdfapplication/pdf929343https://repositorio.ufla.br/bitstreams/c50b93cb-ca34-47ce-bc43-5ca486ca971b/download50a11c5f76cf4645f5f78e7de41bdf95MD51trueAnonymousREADCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8907https://repositorio.ufla.br/bitstreams/b3a3429b-236c-467c-9a97-7291fbdf966c/downloadc07b6daef3dbee864bf87e6aa836cde2MD52falseAnonymousREADLICENSElicense.txtlicense.txttext/plain; charset=utf-8953https://repositorio.ufla.br/bitstreams/733f59e4-bbe8-46a2-bdfa-1a4347b5a4ce/download760884c1e72224de569e74f79eb87ce3MD53falseAnonymousREAD1/347242025-07-18 13:07:30.13http://creativecommons.org/licenses/by/4.0/Attribution 4.0 Internationalopen.accessoai:repositorio.ufla.br:1/34724https://repositorio.ufla.brRepositório InstitucionalPUBhttps://repositorio.ufla.br/server/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2025-07-18T16:07:30Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)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
dc.title.pt_BR.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 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.issued.fl_str_mv 2018
dc.date.accessioned.fl_str_mv 2019-06-12T12:23:22Z
dc.date.available.fl_str_mv 2019-06-12T12:23:22Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.citation.fl_str_mv OLIVEIRA, S. L. G. de; BERNARDES, J. A. B. A novel approach to find pseudo-peripheral vertices for Snay’s Heuristic. Tendencias em Matemática Aplicada e Computacional, São Carlos,v. 19, n. 1, p. 1-13, 2018.
dc.identifier.uri.fl_str_mv https://repositorio.ufla.br/handle/1/34724
identifier_str_mv OLIVEIRA, S. L. G. de; BERNARDES, J. A. B. A novel approach to find pseudo-peripheral vertices for Snay’s Heuristic. Tendencias em Matemática Aplicada e Computacional, São Carlos,v. 19, n. 1, p. 1-13, 2018.
url https://repositorio.ufla.br/handle/1/34724
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
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.pt_BR.fl_str_mv Tendencias em Matemática Aplicada e Computacional
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