Kratsch / Todinca | Graph-Theoretic Concepts in Computer Science | E-Book | sack.de
E-Book

E-Book, Englisch, Band 8747, 422 Seiten, eBook

Reihe: Lecture Notes in Computer Science

Kratsch / Todinca Graph-Theoretic Concepts in Computer Science

40th International Workshop, WG 2014, Nouan-le-Fuzelier, France, June 25-27, 2014. Revised Selected Papers
2014
ISBN: 978-3-319-12340-0
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

40th International Workshop, WG 2014, Nouan-le-Fuzelier, France, June 25-27, 2014. Revised Selected Papers

E-Book, Englisch, Band 8747, 422 Seiten, eBook

Reihe: Lecture Notes in Computer Science

ISBN: 978-3-319-12340-0
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark



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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Zielgruppe


Research

Weitere Infos & Material


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.



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