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Record Nr. |
UNINA9910483847003321 |
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Titolo |
Graph-Theoretic Concepts in Computer Science : 40th International Workshop, WG 2014, Nouan-le-Fuzelier, France, June 25-27, 2014. Revised Selected Papers / / edited by Dieter Kratsch, Ioan Todinca |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
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ISBN |
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Edizione |
[1st ed. 2014.] |
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Descrizione fisica |
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1 online resource (XI, 422 p. 81 illus.) |
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Collana |
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Lecture Notes in Computer Science, , 0302-9743 ; ; 8747 |
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Disciplina |
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Soggetti |
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Computer scienceāMathematics |
Algorithms |
Data structures (Computer science) |
Geometry |
Discrete Mathematics in Computer Science |
Algorithm Analysis and Problem Complexity |
Data Structures |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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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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Sommario/riassunto |
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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. Ā 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 |
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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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