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Hands-On Data Structures and Algorithms with Python – Third Edition

You're reading from   Hands-On Data Structures and Algorithms with Python – Third Edition Store, manipulate, and access data effectively and boost the performance of your applications

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Product type Paperback
Published in Jul 2022
Publisher Packt
ISBN-13 9781801073448
Length 496 pages
Edition 3rd Edition
Languages
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Author (1):
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Dr. Basant Agarwal Dr. Basant Agarwal
Author Profile Icon Dr. Basant Agarwal
Dr. Basant Agarwal
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Table of Contents (17) Chapters Close

Preface 1. Python Data Types and Structures FREE CHAPTER 2. Introduction to Algorithm Design 3. Algorithm Design Techniques and Strategies 4. Linked Lists 5. Stacks and Queues 6. Trees 7. Heaps and Priority Queues 8. Hash Tables 9. Graphs and Algorithms 10. Searching 11. Sorting 12. Selection Algorithms 13. String Matching Algorithms 14. Other Books You May Enjoy
15. Index
Appendix: Answers to the Questions

Graphs

A graph is a set of a finite number of vertices (also known as nodes) and edges, in which the edges are the links between vertices, and each edge in a graph joins two distinct nodes. Moreover, a graph is a formal mathematical representation of a network, i.e. a graph G is an ordered pair of a set V of vertices and a set E of edges, given as G = (V, E) in formal mathematical notation.

An example of a graph is shown in Figure 9.1:

Figure 9.1: An example of a graph

The graph G = (V, E) in Figure 9.1 can be described as below:

  • V = {A, B, C, D, E}
  • E = {{A, B}, {A, C}, {B, C}, {B, D}, {C, D}, {D, D}, {B, E}, {D, E}}
  • G = (V, E)

Let’s discuss some of the important definitions of a graph:

  • Node or vertex: A point or node in a graph is called a vertex. In the preceding diagram, the vertices or nodes are A, B, C, D, and E and are denoted by a dot.
  • Edge: This is a connection between two vertices. The line connecting...
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