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Guide to Graph Algorithms - Sequential, Parallel and Distributed Second Edition

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Guide to Graph Algorithms - Sequential, Parallel and Distributed Second Edition (Size: 66.2 MB)
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Guide to Graph Algorithms: Sequential, Parallel and Distributed Second Edition

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English | June 24, 2026 | ISBN-10: 3032052939 | 552 pages| Epub PDF (True) | 66 MB
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 algorithms

Offers a unifying view by examining the same graph problem from each of the three paradigms of sequential, parallel and distributed algorithms

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