
Guide to Graph Algorithms: Sequential, Parallel and Distributed
English | 2026 | ISBN: 3032052939 | 540 Pages | PDF EPUB (True) | 63 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.
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