reine Buchbestellungen ab 5 Euro senden wir Ihnen Portofrei zuDiesen Artikel senden wir Ihnen ohne weiteren Aufpreis als PAKET

Graph-Theoretic Concepts in Computer Science
(Englisch)
48th International Workshop, WG 2022, Tübingen, Germany, June 22-24, 2022, Revised Selected Papers

Print on Demand - Dieser Artikel wird für Sie gedruckt!

64,95 €

inkl. MwSt. · Portofrei
Dieses Produkt wird für Sie gedruckt, Lieferzeit ca. 10 Werktage
Menge:

Graph-Theoretic Concepts in Computer Science

Seiten
Erscheinungsdatum
Ausstattung
Erscheinungsjahr
Sprache
Serienfolge
Kategorie
Buchtyp
Warengruppenindex
Warengruppe
Detailwarengruppe
Laenge
Breite
Hoehe
Gewicht
Hersteller Artikelnummer
Relevanz
Referenznummer
Verantwortlich für dieses Produkt
  • Springer Basel AG
    Picassoplatz 4
    CH-4010 Basel
    +41 61 2050707
Moluna-Artikelnummer
  • 668448207

Produktbeschreibung

This LNCS 13453 constitutes the thoroughly refereed proceedings of the 48th International Workshop on Graph-Theoretic Concepts in Computer Science, WG 2022.The 32 full papers presented in this volume were carefully reviewed and selected from a total of 96 submissions. The WG 2022 workshop aims to merge theory and practice by demonstrating how concepts from Graph Theory can be applied to various areas in Computer Science, or by extracting new graph theoretic problems from applications.


Design and analysis of sequential, parallel, randomized, parameterized algorithms. Distributed graph and network algorithms.- Structural graph theory with algorithmic or complexity applications.- Computational complexity of graph and network problems.- Graph grammars, graph rewriting systems and graph modeling.- Graph drawing and layouts.- Computational geometry.- Computational biology.- Graph mining.- Random graphs and models of the web and scale-free networks.

Inhaltsverzeichnis



Design and analysis of sequential, parallel, randomized, parameterized algorithms. Distributed graph and network algorithms.- Structural graph theory with algorithmic or complexity applications.- Computational complexity of graph and network problems.- Graph grammars, graph rewriting systems and graph modeling.- Graph drawing and layouts.- Computational geometry.- Computational biology.- Graph mining.- Random graphs and models of the web and scale-free networks.



Datenschutz-Einstellungen