Guide to graph algorithms : sequential, parallel and distributed
Author(s)
Bibliographic Information
Guide to graph algorithms : sequential, parallel and distributed
(Texts in computer science)
Springer, c2018
Available at / 7 libraries
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Library, Research Institute for Mathematical Sciences, Kyoto University数研
ERC||1||1200038744241
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
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.
Table of Contents
Introduction
Part I: Fundamentals
Introduction to Graphs
Graph Algorithms
Parallel Graph Algorithms
Distributed Graph Algorithms
Part II: Basic Graph Algorithms
Trees and Graph Traversals
Weighted Graphs
Connectivity
Matching
Independence, Domination and Vertex Cover
Coloring
Part III: Advanced Topics
Algebraic and Dynamic Graph Algorithms
Analysis of Large Graphs
Complex Networks
Epilogue
Appendix A: Pseudocode Conventions
Appendix B: Linear Algebra Review
by "Nielsen BookData"