Guide to Graph Algorithms

Sequential, Parallel and Distributed

Nonfiction, Computers, Database Management, Data Processing, General Computing, Programming
Cover of the book Guide to Graph Algorithms by K Erciyes, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: K Erciyes ISBN: 9783319732350
Publisher: Springer International Publishing Publication: April 13, 2018
Imprint: Springer Language: English
Author: K Erciyes
ISBN: 9783319732350
Publisher: Springer International Publishing
Publication: April 13, 2018
Imprint: Springer
Language: 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.

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.

This practical guide to the design and analysis of graph algorithms is ideal for advanced and graduate students of computer science, electrical and electronic engineering, and bioinformatics. The material covered will also be of value to any researcher familiar with the basics of discrete mathematics, graph theory and algorithms.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

This practical guide to the design and analysis of graph algorithms is ideal for advanced and graduate students of computer science, electrical and electronic engineering, and bioinformatics. The material covered will also be of value to any researcher familiar with the basics of discrete mathematics, graph theory and algorithms.

More books from Springer International Publishing

Cover of the book Art Wealth Management by K Erciyes
Cover of the book Collaboration in a Data-Rich World by K Erciyes
Cover of the book Information Systems Security by K Erciyes
Cover of the book Implementation and Application of Automata by K Erciyes
Cover of the book Political Correctness and the Destruction of Social Order by K Erciyes
Cover of the book Innovation and Capacity Building by K Erciyes
Cover of the book Preparing for Brexit by K Erciyes
Cover of the book Arts-Research-Education by K Erciyes
Cover of the book There Is No Theory of Everything by K Erciyes
Cover of the book Banking Business Models by K Erciyes
Cover of the book Android Application Security by K Erciyes
Cover of the book Artificial Vision by K Erciyes
Cover of the book Incognito Social Investigation in British Literature by K Erciyes
Cover of the book Surgical Pathology of Liver Tumors by K Erciyes
Cover of the book A Course in Classical Physics 1—Mechanics by K Erciyes
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy