Guide to Graph Algorithms Sequential, Parallel and Distributed /

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...

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Bibliographic Details
Main Author: Erciyes, K. (Author, http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
Edition:1st ed. 2018.
Series:Texts in Computer Science,
Subjects:
Online Access:Full Text via HEAL-Link
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.