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dc.contributor.authorChong, K. W.en
dc.contributor.authorNikolopoulos, S. D.en
dc.contributor.authorPalios, L.en
dc.date.accessioned2015-11-24T17:00:36Z-
dc.date.available2015-11-24T17:00:36Z-
dc.identifier.issn1432-4350-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/10790-
dc.rightsDefault Licence-
dc.subjectweakly triangulated graphsen
dc.subjectefficienten
dc.subjectcomponentsen
dc.titleAn optimal parallel co-connectivity algorithmen
heal.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.identifier.primaryDOI 10.1007/s00224-003-1074-x-
heal.languageen-
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Ηλεκτρονικών Υπολογιστών και Πληροφορικήςel
heal.publicationDate2004-
heal.abstractIn this paper we consider the problem of computing the connected components of the complement of a given graph. We describe a simple sequential algorithm for this problem, which works on the input graph and not on its complement, and which for a graph on n vertices and m edges runs in optimal O(n+m) time. Moreover, unlike previous linear co-connectivity algorithms, this algorithm admits efficient parallelization, leading to an optimal O(logn)-time and O((n+m)/log n)-processor algorithm on the EREW PRAM model of computation. It is worth noting that, for the related problem of computing the connected components of a graph, no optimal deterministic parallel algorithm is currently available. The co-connectivity algorithms find applications in a number of problems. In fact, we also include a parallel recognition algorithm for weakly triangulated graphs, which takes advantage of the parallel co-connectivity algorithm and achieves an O(log(2)n) time complexity using O((n+m(2))/log n) processors on the EREW PRAM model of computation.en
heal.journalNameTheory of Computing Systemsen
heal.journalTypepeer reviewed-
heal.fullTextAvailabilityTRUE-
Appears in Collections:Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά)

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