A generative power-law search tree model
Autor(a) principal: | |
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Data de Publicação: | 2009 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.5/27674 |
Resumo: | It is now a well-established fact that search algorithms can exhibit heavy-tailed behavior. However, the reasons behind this fact are not well understood. We provide a generative search tree model whose distribution of the number of nodes visited during search is formally heavy-tailed. Our model allows us to generate search trees with any degree of heavy-tailedness. We also show how the different regimes observed for the runtime distributions of backtrack search methods across different constrainedness regions of random CSP models can be captured by a mixture of the so-called stable distributions. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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spelling |
A generative power-law search tree modelRandom AlgorithmsHeavy-tailsComputational StatisticsIt is now a well-established fact that search algorithms can exhibit heavy-tailed behavior. However, the reasons behind this fact are not well understood. We provide a generative search tree model whose distribution of the number of nodes visited during search is formally heavy-tailed. Our model allows us to generate search trees with any degree of heavy-tailedness. We also show how the different regimes observed for the runtime distributions of backtrack search methods across different constrainedness regions of random CSP models can be captured by a mixture of the so-called stable distributions.ElsevierRepositório da Universidade de LisboaCarvalho, AldaCrato, NunoGomes, Carla2023-04-28T13:58:25Z20092009-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/27674engCarvalho, Alda; Nuno Crato and Carla Gomes .(2009). “A generative power-law search tree model”. Computers & Operations Research, Vol. 36: pp. 2376 – 2386. (Search PDF in 2023).0305-054810.1016/j.cor.2008.08.017info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-04-30T01:30:56Zoai:www.repository.utl.pt:10400.5/27674Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:50:29.060428Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
A generative power-law search tree model |
title |
A generative power-law search tree model |
spellingShingle |
A generative power-law search tree model Carvalho, Alda Random Algorithms Heavy-tails Computational Statistics |
title_short |
A generative power-law search tree model |
title_full |
A generative power-law search tree model |
title_fullStr |
A generative power-law search tree model |
title_full_unstemmed |
A generative power-law search tree model |
title_sort |
A generative power-law search tree model |
author |
Carvalho, Alda |
author_facet |
Carvalho, Alda Crato, Nuno Gomes, Carla |
author_role |
author |
author2 |
Crato, Nuno Gomes, Carla |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Repositório da Universidade de Lisboa |
dc.contributor.author.fl_str_mv |
Carvalho, Alda Crato, Nuno Gomes, Carla |
dc.subject.por.fl_str_mv |
Random Algorithms Heavy-tails Computational Statistics |
topic |
Random Algorithms Heavy-tails Computational Statistics |
description |
It is now a well-established fact that search algorithms can exhibit heavy-tailed behavior. However, the reasons behind this fact are not well understood. We provide a generative search tree model whose distribution of the number of nodes visited during search is formally heavy-tailed. Our model allows us to generate search trees with any degree of heavy-tailedness. We also show how the different regimes observed for the runtime distributions of backtrack search methods across different constrainedness regions of random CSP models can be captured by a mixture of the so-called stable distributions. |
publishDate |
2009 |
dc.date.none.fl_str_mv |
2009 2009-01-01T00:00:00Z 2023-04-28T13:58:25Z |
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.uri.fl_str_mv |
http://hdl.handle.net/10400.5/27674 |
url |
http://hdl.handle.net/10400.5/27674 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Carvalho, Alda; Nuno Crato and Carla Gomes .(2009). “A generative power-law search tree model”. Computers & Operations Research, Vol. 36: pp. 2376 – 2386. (Search PDF in 2023). 0305-0548 10.1016/j.cor.2008.08.017 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799131584681476096 |