Graph-theoretic concepts in computer science : 40th International Workshop, WG 2014, Nouan-le-Fuzelier, France, June 25-27, 2014. Revised selected papers / Dieter Kratsch, Ioan Todinca (eds.).
Contributor(s): Kratsch, D. (Dieter) [editor.] | Todinca, Ioan [editor.]Material type: TextSeries: SerienbezeichnungLecture notes in computer science: 8747.; LNCS sublibrary: Publisher: Cham : Springer, 2014Description: 1 online resource (xi, 422 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9783319123400; 3319123408Other title: WG 2014Subject(s): Graph theory -- Data processing -- Congresses | Computer science -- Congresses | Computer science | Graph theory -- Data processing | Engineering & Applied Sciences | Computer ScienceGenre/Form: Electronic books. | Conference papers and proceedings. Additional physical formats: Printed edition:: No titleDDC classification: 511.5 LOC classification: QA166Online resources: Click here to access online
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Online resource; title from PDF title page (SpringerLink, viewed November 12, 2014).
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 -- Support of these concepts by suitable implementations and applications.
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.