A Simple Linear-Time Recognition Algorithm for Weakly Quasi-Threshold Graphs

dc.contributor.authorNikolopoulos, S. D.en
dc.contributor.authorPapadopoulos, C.en
dc.date.accessioned2015-11-24T17:26:06Z
dc.date.available2015-11-24T17:26:06Z
dc.identifier.issn0911-0119-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/13150
dc.rightsDefault Licence-
dc.subjectweakly quasi-threshold graphsen
dc.subjectcographsen
dc.subjectforbidden induced subgraphsen
dc.subjectrecognitionen
dc.subjectlinear-time algorithmsen
dc.subjectcograph recognitionen
dc.titleA Simple Linear-Time Recognition Algorithm for Weakly Quasi-Threshold Graphsen
heal.abstractWeakly quasi-threshold graphs form a proper subclass of the well-known class of cographs by restricting the join operation. In this paper we characterize weakly quasi-threshold graphs by a finite set of forbidden subgraphs: the class of weakly quasi-threshold graphs coincides with the class of {P(4), co-(2P(3))}-free graphs. Moreover we give the first linear-time algorithm to decide whether a given graph belongs to the class of weakly quasi-threshold graphs, improving the previously known running time. Based on the simplicity of our recognition algorithm, we can provide certificates of membership (a structure that characterizes weakly quasi-threshold graphs) or non-membership (forbidden induced subgraphs) in additional O(n) time. Furthermore we give a linear-time algorithm for finding the largest induced weakly quasi-threshold subgraph in a cograph.en
heal.accesscampus-
heal.fullTextAvailabilityTRUE-
heal.identifier.primaryDOI 10.1007/s00373-010-0983-0-
heal.identifier.secondary<Go to ISI>://000291868300008-
heal.identifier.secondaryhttp://www.springerlink.com/content/p88676568078tw3x/fulltext.pdf-
heal.journalNameGraphs and Combinatoricsen
heal.journalTypepeer reviewed-
heal.languageen-
heal.publicationDate2011-
heal.publisherSpringer Verlag (Germany)en
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μαθηματικώνel
heal.typejournalArticle-
heal.type.elΆρθρο Περιοδικούel
heal.type.enJournal articleen

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