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
Название: Guide to Graph Algorithms. Sequential, Parallel and Distributed
Автор: K. Erciyes
Издательство: Springer
Год: 2018
Формат: pdf
Страниц: 471
Размер: 10 Мб
Язык: English
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. 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.