Guide to Graph Algorithms : Sequential, Parallel and Distributed

Guide to Graph Algorithms : Sequential, Parallel and Distributed

Guide to Graph Algorithms : Sequential, Parallel and Distributed

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Guide to Graph Algorithms: Sequential, Parallel and Distributed (Texts in Computer Science)

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Guide to Graph Algorithms : Sequential, Parallel and Distributed

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This clearly structured textbook/reference presents a detailed and comprehensive review of the fundamental principles of sequential graph algorithms, approaches for NP-hard graph problems, approximation algorithms and heuristics for such problems and implementation of advanced graph structures in machine learning.The work also provides a comparative analysis of sequential, parallel and distributed graph algorithms - including algorithms for big data - and an investigation into the conversion principles between the three algorithmic methods. Topics and features:Presents a comprehensive analysis of sequential graph algorithmsOffers a unifying view by examining the same graph problem from each of the three paradigms of sequential, parallel and distributed algorithmsDescribes methods for the conversion between sequential, parallel and distributed graph algorithmsSurveys methods for the analysis of large graphs and complex network applicationsIncludes full implementation details for the pro
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