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Authordc.contributor.authorBarbay, Jérémy 
Authordc.contributor.authorOchoa, Carlos 
Admission datedc.date.accessioned2019-05-31T15:20:00Z
Available datedc.date.available2019-05-31T15:20:00Z
Publication datedc.date.issued2018
Cita de ítemdc.identifier.citationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Volumen 10976 LNCS, 2018, Pages 156-167
Identifierdc.identifier.issn16113349
Identifierdc.identifier.issn03029743
Identifierdc.identifier.other10.1007/978-3-319-94776-1_14
Identifierdc.identifier.urihttps://repositorio.uchile.cl/handle/2250/169418
Abstractdc.description.abstractWe describe and analyze the first adaptive algorithm for merging k convex hulls in the plane. This merging algorithm in turn yields a synergistic algorithm to compute the convex hull of a set of planar points, taking advantage both of the positions of the points and their order in the input. This synergistic algorithm asymptotically outperforms all previous solutions for computing the convex hull in the plane.
Lenguagedc.language.isoen
Publisherdc.publisherSpringer Verlag
Type of licensedc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile
Link to Licensedc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
Sourcedc.sourceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Keywordsdc.subjectConvex hull
Keywordsdc.subjectMerging
Keywordsdc.subjectMultivariate analysis
Keywordsdc.subjectSynergistic
Títulodc.titleSynergistic solutions for merging and computing planar convex hulls
Document typedc.typeArtículo de revista
Catalogueruchile.catalogadorjmm
Indexationuchile.indexArtículo de publicación SCOPUS
uchile.cosechauchile.cosechaSI


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Attribution-NonCommercial-NoDerivs 3.0 Chile
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Chile