A Novel Approach to Find Pseudo–peripheral Vertices for Snay’s Heuristic
| Main Author: | |
|---|---|
| Publication Date: | 2018 |
| Other Authors: | |
| 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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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 |
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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 |
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Sociedade Brasileira de Matemática Aplicada e Computacional |
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SBMAC |
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SBMAC |
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TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online) |
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TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online) |
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TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online) - Sociedade Brasileira de Matemática Aplicada e Computacional |
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castelo@icmc.usp.br |
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1752122220242534400 |