Guide to Graph Algorithms: Sequential, Parallel and Distributed, Hardcover/K. Erciyes - Springer

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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, and approximation algorithms and heuristics for such problems.
Topics.
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.
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, and approximation algorithms and heuristics for such problems