Guide to Graph Algorithms: Sequential, Parallel and Distributed (repost)
Guide to Graph Algorithms: Sequential, Parallel and Distributed By K Erciyes
English | PDF,EPUB | 2018 | 475 Pages | ISBN : 331973234X | 17.38 MB
English | PDF,EPUB | 2018 | 475 Pages | ISBN : 331973234X | 17.38 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, 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.
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; describes methods for the conversion between sequential, parallel and distributed graph algorithms; surveys methods for the analysis of large graphs and complex network applications; includes full implementation details for the problems presented throughout the text; provides additional supporting material at an accompanying website.