Please use this identifier to cite or link to this item: https://olympias.lib.uoi.gr/jspui/handle/123456789/10944
Full metadata record
DC FieldValueLanguage
dc.contributor.authorNikolopoulos, S. D.en
dc.contributor.authorPalios, L.en
dc.date.accessioned2015-11-24T17:01:33Z-
dc.date.available2015-11-24T17:01:33Z-
dc.identifier.issn0178-4617-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/10944-
dc.rightsDefault Licence-
dc.subjectholesen
dc.subjectantiholesen
dc.subjectweakly chordal graphsen
dc.subjectco-connectivityen
dc.subjectweakly triangulated graphsen
dc.subjectlinear-time algorithmsen
dc.subjectrecognitionen
dc.titleDetecting holes and antiholes in graphsen
heal.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.identifier.primaryDOI 10.1007/s00453-006-1225-y-
heal.languageen-
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Ηλεκτρονικών Υπολογιστών και Πληροφορικήςel
heal.publicationDate2007-
heal.abstractIn this paper we study the problems of detecting holes and antiholes in general undirected graphs, and we present algorithms for these problems. For an input graph G on n vertices and m edges, our algorithms run in O(n + m(2)) time and require O(n m) space; we thus provide a solution to the open problem posed by Hayward et al. asking for an O(n(4))-time algorithm for finding holes in arbitrary graphs. The key element of the algorithms is the use of the depth-first-search traversal on appropriate auxiliary graphs in which moving between any two adjacent vertices is equivalent to walking along a P-4 (i.e., a chordless path on four vertices) of the input graph or on its complement, respectively. The approach can be generalized so that for a fixed constant k >= 5 we obtain an O(n(k-1))-time algorithm for the detection of a hole (antihole resp.) on at least k vertices. Additionally, we describe a different approach which allows us to detect antiholes in graphs that do not contain chordless cycles on five vertices in O(n + m(2)) time requiring O(n + m) space. Again, for a fixed constant k >= 6, the approach can be extended to yield O(n(k-2))-time and O(n(2))-space algorithms for detecting holes (antiholes resp.) on at least k vertices in graphs which do not contain holes (antiholes resp.) on k - 1 vertices. Our algorithms are simple and can be easily used in practice. Finally, we also show how our detection algorithms can be augmented so that they return a hole or an antihole whenever such a structure is detected in the input graph; the augmentation takes O(n + m) time and space.en
heal.journalNameAlgorithmicaen
heal.journalTypepeer reviewed-
heal.fullTextAvailabilityTRUE-
Appears in Collections:Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά)

Files in This Item:
File Description SizeFormat 
Nikolopoulos-2007-Detecting holes and.pdf227.37 kBAdobe PDFView/Open    Request a copy


This item is licensed under a Creative Commons License Creative Commons