Graphs: Theory and Algorithms
eBook - PDF

Graphs: Theory and Algorithms

  1. 390 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Graphs: Theory and Algorithms

About this book

The book "Graphs: Theory and Algorithm" is a collection of modern articles features several graph-based methods and algorithms. It also covers important theoretical aspects pertaining to matrix representations of graphs such as the Laplacian and distance matrices which can be used for solving problems such that of the Hamiltonian and shortest path, as well as in finding minimum spanning trees and matching patterns.

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Yes, you can access Graphs: Theory and Algorithms by Olga Moreira in PDF and/or ePUB format, as well as other popular books in Mathematics & Mathematics General. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Arcler Press
Year
2020
eBook ISBN
9781774079027
Topic
Mathematics
Subtopic
Mathematics General
Index
Mathematics

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. DECLARATION
  5. ABOUT THE EDITOR
  6. TABLE OF CONTENTS
  7. List of Contributors
  8. List of Abbreviations
  9. Preface
  10. Chapter 1 Introduction
  11. Chapter 2 An Image Encryption Algorithm Based on Random Hamiltonian Path
  12. Chapter 3 Traveling in Networks with Blinking Nodes
  13. Chapter 4 On Minimum Spanning Subgraphs of Graphs with Proper Connection Number 2
  14. Chapter 5 New Algorithm for Calculating Chromatic Index of Graphs and its Applications
  15. Chapter 6 An Edge-Swap Heuristic for Finding Dense Spanning Trees
  16. Chapter 7 Identifying Network Structure Similarity using Spectral Graph Theory
  17. Chapter 8 On Generalized Distance Gaussian Estrada Index of Graphs
  18. Chapter 9 Nullity and Energy Bounds of Central Graph of Smith Graphs
  19. Chapter 10 Induced Subgraph Saturated Graphs
  20. Chapter 11 Connection and Separation in Hyper Graphs
  21. Chapter 12 Vertex Rough Graphs
  22. Chapter 13 Incremental Graph Pattern Matching Algorithm for Big Graph Data
  23. Chapter 14 Framework And Algorithms For Identifying Honest Blocks In Block Chain
  24. Chapter 15 Enabling Controlling Complex Networks with Local Topological Information
  25. Chapter 16 Estimation Of Traffic Flow Changes Using Networks in Networks Approaches
  26. Chapter 17 Hidden Geometries In Networks Arising From Cooperative Self-Assembly
  27. Chapter 18 Using Graph Theory to Assess the Interaction between Cerebral Function, Brain Hemodynamics, and Systemic Variables in Premature Infants
  28. Index
  29. Back Cover