dc.contributor.author | Πάντζιου, Γραμματή Ε. | el |
dc.contributor.author | Σπυράκης, Παύλος | el |
dc.contributor.author | Ζαρολιάγκης, Χρήστος | el |
dc.date.accessioned | 2015-05-25T19:52:30Z | |
dc.date.available | 2015-05-25T19:52:30Z | |
dc.date.issued | 2015-05-25 | |
dc.identifier.uri | http://hdl.handle.net/11400/11152 | |
dc.rights | Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.source | http://link.springer.com/article/10.1007%2FBF01994878 | en |
dc.subject | αλγόριθμος | |
dc.subject | Επίπεδα διγράμματος | |
dc.subject | συντομότερη διαδρομή | |
dc.subject | αιώρα αποσύνθεση | |
dc.subject | συμπαγείς πίνακες δρομολόγησης | |
dc.subject | παράλληλη συρρίκνωση δέντρου | |
dc.subject | Algorithm | |
dc.subject | Planar digraph | |
dc.subject | shortest path | |
dc.subject | hammock decomposition | |
dc.subject | compact routing tables | |
dc.subject | parallel tree contraction | |
dc.title | Efficient parallel algorithms for shortest paths in planar digraphs | en |
heal.type | journalArticle | |
heal.classification | Πληροφορική | |
heal.classification | Μαθηματικά | |
heal.classification | Computer science | |
heal.classification | Mathematics | |
heal.classificationURI | **N/A**-Πληροφορική | |
heal.classificationURI | **N/A**-Μαθηματικά | |
heal.classificationURI | http://skos.um.es/unescothes/C00750 | |
heal.classificationURI | http://skos.um.es/unescothes/C02437 | |
heal.identifier.secondary | DOI: 10.1007/BF01994878 | |
heal.language | en | |
heal.access | campus | |
heal.recordProvider | Τεχνολογικό Εκπαιδευτικό Ίδρυμα Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Πληροφορικής Τ.Ε. | el |
heal.publicationDate | 1992 | |
heal.bibliographicCitation | Pantziou, G., Spirakis, P. and Zaroliagis, C. (1992) Efficient Parallel Algorithms for Shortest Paths Planar Digraphs. BIT Numerical Mathematics. [Online] 32 (2), pp.215-236. Available from: http://link.springer.com [Accessed 25/05/2015] | en |
heal.abstract | Efficient parallel algorithms are presented, on the CREW PRAM model, for generating a succinct encoding of all pairs shortest path information in a directed planar graphG with real-valued edge costs but no negative cycles. We assume that a planar embedding ofG is given, together with a set ofq faces that cover all the vertices. Then our algorithm runs inO(log2 n) time and employsO(nq+M(q)) processors (whereM(t) is the number of processors required to multiply twot×t matrices inO(logt) time). Let us note here that wheneverq<n then our processor bound is better than the best previous one (M(n)).O(log2 n) time,n-processor algorithms are presented for various subproblems, including that of generating all pairs shortest path information in a directedouterplanar graph. Our work is based on the fundamental hammock-decomposition technique of G. Frederickson. We achieve this decomposition inO(logn log*n) parallel time by usingO(n) processors. The hammock-decomposition seems to be a fundamental operation that may help in improving efficiency of many parallel (and sequential) graph algorithms. | en |
heal.publisher | Kluwer Academic Publishers | en |
heal.journalName | BIT Numerical Mathematics | en |
heal.journalType | peer-reviewed | |
heal.fullTextAvailability | true |
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