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dc.contributor.authorNikolopoulos, S. D.en
dc.date.accessioned2015-11-24T17:00:47Z-
dc.date.available2015-11-24T17:00:47Z-
dc.identifier.issn0743-7315-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/10813-
dc.rightsDefault Licence-
dc.subjectparallel algorithmsen
dc.subjectquasi-threshold graphsen
dc.subjectrecognitionen
dc.subjecttree representationen
dc.subjecthamiltonian cyclesen
dc.subjecthamiltonian completion numberen
dc.subjectcomplexityen
dc.subjectrecognition algorithmen
dc.subjectcographsen
dc.titleParallel algorithms for Hamiltonian problems on quasi-threshold graphsen
heal.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.identifier.primaryDOI 10.1016/j.jpdc.2003.08.004-
heal.languageen-
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Ηλεκτρονικών Υπολογιστών και Πληροφορικήςel
heal.publicationDate2004-
heal.abstractIn this paper we show structural and algorithmic properties on the class of quasi-threshold graphs, or QT-graphs for short, and prove necessary and sufficient conditions for a QT-graph to be Hamiltonian. Based on these properties and conditions, we construct an efficient parallel algorithm for finding a Hamiltonian cycle in a QT-graph; for an input graph on n vertices and in edges, our algorithm takes O(log n) time and requires O(n + m) processors on the CREW PRAM model. In addition, we show that the problem of recognizing whether a QT-graph is a Hamiltonian graph and the problem of computing the Hamiltonian completion number of a nonHamiltonian QT-graph can also be solved in O(log n) time with O(n + in) processors. Our algorithms rely on O(log n)-time parallel algorithms, which we develop here, for constructing tree representations of a QT-graph; we show that a QT-graph G has a unique tree representation, that is, a tree structure which meets the structural properties of G. We also present parallel algorithms for other optimization problems on QT-graphs which run in O(log n) time using a linear number of processors. (C) 2003 Elsevier Inc. All rights reserved.en
heal.journalNameJournal of Parallel and Distributed Computingen
heal.journalTypepeer reviewed-
heal.fullTextAvailabilityTRUE-
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