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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/73603
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dc.contributor.authorMarinho, Eraldo P.-
dc.contributor.authorBaldassin, Alexandro-
dc.date.accessioned2014-05-27T11:27:03Z-
dc.date.accessioned2016-10-25T18:38:37Z-
dc.date.available2014-05-27T11:27:03Z-
dc.date.available2016-10-25T18:38:37Z-
dc.date.issued2012-10-01-
dc.identifierhttp://dx.doi.org/10.1007/978-3-642-33078-0_6-
dc.identifier.citationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 7439 LNCS, n. PART 1, p. 69-82, 2012.-
dc.identifier.issn0302-9743-
dc.identifier.issn1611-3349-
dc.identifier.urihttp://hdl.handle.net/11449/73603-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/73603-
dc.description.abstractThis paper presents vectorized methods of construction and descent of quadtrees that can be easily adapted to message passing parallel computing. A time complexity analysis for the present approach is also discussed. The proposed method of tree construction requires a hash table to index nodes of a linear quadtree in the breadth-first order. The hash is performed in two steps: an internal hash to index child nodes and an external hash to index nodes in the same level (depth). The quadtree descent is performed by considering each level as a vector segment of a linear quadtree, so that nodes of the same level can be processed concurrently. © 2012 Springer-Verlag.en
dc.format.extent69-82-
dc.language.isoeng-
dc.sourceScopus-
dc.subjectBreadth-first-
dc.subjectChild node-
dc.subjectHash table-
dc.subjectIndex nodes-
dc.subjectLinear quadtree-
dc.subjectQuad trees-
dc.subjectTime complexity-
dc.subjectTree construction-
dc.subjectParallel architectures-
dc.subjectAlgorithms-
dc.titleVectorized algorithms for quadtree construction and descenten
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationUniv. Estadual Paulista (UNESP) Departamento de Estatística, Matemática Aplicada e Computação IGCE, Rio Claro-
dc.description.affiliationUnespUniv. Estadual Paulista (UNESP) Departamento de Estatística, Matemática Aplicada e Computação IGCE, Rio Claro-
dc.identifier.doi10.1007/978-3-642-33078-0_6-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)-
dc.identifier.scopus2-s2.0-84866681228-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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