Graph-Theoretic Concepts in Computer Science 40th International Workshop, WG 2014, Nouan-le-Fuzelier, France, June 25-27, 2014. Revised Selected Papers / [electronic resource] :
edited by Dieter Kratsch, Ioan Todinca.
- XI, 422 p. 81 illus. online resource.
- Lecture Notes in Computer Science, 8747 0302-9743 ; .
- Lecture Notes in Computer Science, 8747 .
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.
9783319123400
10.1007/978-3-319-12340-0 doi
Computer science. Data structures (Computer science). Algorithms. Computer science--Mathematics. Geometry. Computer Science. Discrete Mathematics in Computer Science. Algorithm Analysis and Problem Complexity. Data Structures. Geometry. Algorithms.