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Distributed Graph Algorithms for Computer Networks

โœ Scribed by Kayhan Erciyes


Publisher
Springer
Year
2013
Tongue
English
Leaves
328
Category
Library

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โœฆ Synopsis


This hands-on textbook/reference presents a comprehensive review of key distributed graph algorithms for computer network applications, with a particular emphasis on practical implementation. Each chapter opens with a concise introduction to a specific problem, supporting the theory with numerous examples, before providing a list of relevant algorithms. These algorithms are described in detail from conceptual basis to pseudocode, complete with graph templates for the stepwise implementation of the algorithm, followed by its analysis.


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Distributed Graph Algorithms for Compute
โœ K. Erciyes (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 2013 ๐Ÿ› Springer-Verlag London ๐ŸŒ English

<p>This book presents a comprehensive review of key distributed graph algorithms for computer network applications, with a particular emphasis on practical implementation. Topics and features: introduces a range of fundamental graph algorithms, covering spanning trees, graph traversal algorithms, ro

Distributed graph algorithms for compute
โœ Erciyes K. ๐Ÿ“‚ Library ๐Ÿ“… 2013 ๐Ÿ› Springer ๐ŸŒ English

Graph theory is an invaluable tool for the designer of algorithms for distributed systems. This hands-on textbook/reference presents a comprehensive review of key distributed graph algorithms for computer network applications, with a particular emphasis on practical implementation. Each chapter open

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โœ Erciyes, K ๐Ÿ“‚ Library ๐Ÿ“… 2013 ๐Ÿ› Imprint, Springer, Springer London ๐ŸŒ English

Graph theory is an invaluable tool for the designer of algorithms for distributed systems. This hands-on textbook/reference presents a comprehensive review of key distributed graph algorithms for computer network applications, with a particular emphasis on practical implementation. Each chapter open

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Introduction -- Part I: Fundamental Algorithms -- Graphs -- The Computational Model -- Spanning Tree Construction -- Graph Traversals -- Minimal Spanning Trees -- Routing -- Self-Stabilization -- Part II: Graph Theoretical Algorithms -- Vertex Coloring -- Maximal Independent Sets -- Dominating Sets

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This is the definitive guide to graph algorithms. Every algorithm is well documented with proofs and complexity estimates. A general knowledge of graph theory is presupposed. This is a very good thing, since then neither paper or time needs to be vasted on elementaries. There are heaps of introd

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โœ Dieter Jungnickel ๐Ÿ“‚ Library ๐Ÿ“… 2007 ๐Ÿ› Springer ๐ŸŒ English

This is the definitive guide to graph algorithms. Every algorithm is well documented with proofs and complexity estimates. A general knowledge of graph theory is presupposed. This is a very good thing, since then neither paper or time needs to be vasted on elementaries. There are heaps of introd