Graph-Theoretic Concepts in Computer Science

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40th International Workshop, WG 2014, Nouan-le-Fuzelier, France, June 25-27,2014.Revised Papers, Theoretical Computer Science and General Issues, Lecture Notes in Computer Science 8747

ISBN: 3319123394
ISBN 13: 9783319123394
Herausgeber: Dieter Kratsch/Ioan Todinca
Verlag: Springer Verlag GmbH
Umfang: xi, 422 S., 81 s/w Illustr., 422 p. 81 illus.
Erscheinungsdatum: 31.10.2014
Auflage: 1/2014
Produktform: Kartoniert
Einband: KT

This book constitutes the thoroughly refereed post-conference proceedings of the 40th International Workshop on Graph-Theoretic Concepts in Computer Science, WG 2014, held in Nouan-le-Fuzelier, France, in June 2014. The 32 revised full papers presented were carefully reviewed and selected from 80 submissions. The book also includes two invited papers. The papers cover a wide range of topics in graph theory related to computer science, such as design and analysis of sequential, parallel, randomized, parameterized and 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; random graphs and models of the web and scale-free networks; and support of these concepts by suitable implementations and applications.

Artikelnummer: 7201696 Kategorie:

Beschreibung

This book constitutes the thoroughly refereed post-conference proceedings of the 40th International Workshop on Graph-Theoretic Concepts in Computer Science, WG 2014, held in Nouan-le-Fuzelier, France, in June 2014.The 32 revised full papers presented were carefully reviewed and selected from 80 submissions. The book also includes two invited papers. The papers cover a wide range of topics in graph theory related to computer science, such as design and analysis of sequential, parallel, randomized, parameterized and 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; random graphs and models of the web and scale-free networks; and support of these concepts by suitable implementations and applications.

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