Please use this identifier to cite or link to this item: https://olympias.lib.uoi.gr/jspui/handle/123456789/11136
Full metadata record
DC FieldValueLanguage
dc.contributor.authorNikolopoulos, S.en
dc.contributor.authorAndreou, M.en
dc.date.accessioned2015-11-24T17:03:09Z-
dc.date.available2015-11-24T17:03:09Z-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/11136-
dc.rightsDefault Licence-
dc.titleNC Coloring Algorithms for Permutation Graphsen
heal.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.languageen-
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Ηλεκτρονικών Υπολογιστών και Πληροφορικήςel
heal.publicationDate1999-
heal.abstractWe show that the problem of coloring a permutation graph of size n can be solved in O(logn logk) time using O(kn where 1 <k <n. We estimate the parameter k on random permutation graphs and show that the coloring problem can be solved in O(logn loglogn) time in the average-case on the CREW PRAM model of computation with O(n ) processors. Our computational strategy goes as follows: Given a permutation # or its corresponding permutation graph G[#], we first construct a directed acyclic graph G [#] using certain combinatorial properties of #, and then compute longest paths in the directed acyclic graph using divideand -conquer techniques. We show that the problem of coloring a permutation graph G[#] is equivalent to finding longest paths in its acyclic digraph G [#]. The best-known parallel algorithms for the same problem run in O(log n) time using O(n / logn) processors on the CREW PRAM model of computation.en
heal.journalNameNordic J. Computingen
heal.journalTypepeer reviewed-
heal.fullTextAvailabilityTRUE-
Appears in Collections:Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά)

Files in This Item:
File Description SizeFormat 
nikolopoulos-1999-NC Coloring Algorithms for Permutation Graphs.pdf212.19 kBAdobe PDFView/Open    Request a copy


This item is licensed under a Creative Commons License Creative Commons