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Graph-theoretic Concepts in Computer Science : 38th International Workshop, W...

Description: Graph-theoretic Concepts in Computer Science : 38th International Workshop, Wg 2012, Jerusalem, Israel, June 26-28, 2012, Revised Selcted Papers, Paperback by Golumbic, Martin Charles (EDT); Stern, Michael (EDT); Levy, Avivit (EDT); Morgenstern, Gila (EDT), ISBN 3642346103, ISBN-13 9783642346101, Like New Used, Free shipping in the US 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, . 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

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Graph-theoretic Concepts in Computer Science : 38th International Workshop, W...

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Book Title: Graph-theoretic Concepts in Computer Science : 38th International

Number of Pages: Xiv, 346 Pages

Publication Name: Graph-Theoretic Concepts in Computer Science : 38th International Workshop, WG 2012, Jerusalem, Israel, June 26-28, 2012, Revised Selcted Papers

Language: English

Publisher: Springer Berlin / Heidelberg

Publication Year: 2012

Subject: Intelligence (Ai) & Semantics, Graphic Methods, Computer Science, Discrete Mathematics

Item Weight: 19.4 Oz

Type: Textbook

Author: Michael Stern

Subject Area: Mathematics, Computers

Item Length: 9.3 in

Series: Lecture Notes in Computer Science Ser.

Item Width: 6.1 in

Format: Trade Paperback

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