Graph-Theoretic Concepts in Computer Science - 38th International Workshop, WG 2012, Jerusalem, Israel, June 26-28, 2012, Revised Selcted Papers (Paperback, 2012)

This book constitutes the thoroughly refereed proceedings of the 38th International Workshop on Graph Theoretic Concepts in Computer Science (WG 2012) held in Jerusalem, Israel on June 26-28, 2012. The 29 revised full papers presented were carefully selected and reviewed from 78 submissions. The papers are solicited describing original results on all aspects of graph-theoretic concepts in Computer Science, e.g. structural graph theory, sequential, parallel, randomized, parameterized, and distributed graph and network algorithms and their complexity, graph grammars and graph rewriting systems, graph-based modeling, graph-drawing and layout, random graphs, diagram methods, and support of these concepts by suitable implementations. The scope of WG includes all applications of graph-theoretic concepts in Computer Science, including data structures, data bases, programming languages, computational geometry, tools for software construction, communications, computing on the web, models of the web and scale-free networks, mobile computing, concurrency, computer architectures, VLSI, artificial intelligence, graphics, CAD, operations research, and pattern recognition

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Theoretical Computer Science and General Issues, 7551
Release date:	October 2012
First published:	2012
Editors:	Martin Charles Golumbic • Michael Stern • Avivit Levy • Gila Morgenstern
Dimensions:	235 x 155 x 19mm (L x W x T)
Format:	Paperback
Pages:	346
Edition:	2012
ISBN-13:	978-3-642-34610-1
Categories:	Books > Science & Mathematics > Mathematics > Numerical analysis Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Science & Mathematics > Mathematics > Geometry > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	3-642-34610-3
Barcode:	9783642346101

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