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Swift Data Structure and Algorithms

You're reading from  Swift Data Structure and Algorithms

Product type Book
Published in Nov 2016
Publisher Packt
ISBN-13 9781785884504
Pages 286 pages
Edition 1st Edition
Languages
Author (1):
Mario Eguiluz Alebicto Mario Eguiluz Alebicto
Profile icon Mario Eguiluz Alebicto

Table of Contents (15) Chapters

Swift Data Structure and Algorithms
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. Walking Across the Playground 2. Working with Commonly Used Data Structures 3. Standing on the Shoulders of Giants 4. Sorting Algorithms 5. Seeing the Forest through the Tree 6. Advanced Searching Methods 7. Graph Algorithms 8. Performance and Algorithm Efficiency 9. Choosing the Perfect Algorithm

Graph theory


Any graph consists of the following:

  • A collection of vertices

  • A collection of edges

A vertex is a single node that represents an entity (it will depend on the problem to solve). An edge is a connection between two vertices. Consider the following image:

A simple graph example with four vertices and three edges.

How is a graph used in the real world? Imagine that we work on a social network app and we want a way to represent how people are connected in our network. We can achieve this by using a graph, where vertices represent profiles, and edges represent the connections between them.

In order to cover as many scenarios as possible, there are different types of graphs, each one serving a different purpose based on their own properties. Let's see some of the most common ones.

Types of graphs

Using a different type of graph for the proper scenario is the best way to achieve a solution to a specific problem with the help of a graph. We are now going to look at the most common graph types...

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