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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Κύριος συγγραφέας: Erciyes, K. (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Σειρά:Texts in Computer Science,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.