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Java 9 Data Structures and Algorithms

You're reading from   Java 9 Data Structures and Algorithms A step-by-step guide to data structures and algorithms

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Product type Paperback
Published in Apr 2017
Publisher Packt
ISBN-13 9781785889349
Length 340 pages
Edition 1st Edition
Languages
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Author (1):
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Debasish Ray Chawdhuri Debasish Ray Chawdhuri
Author Profile Icon Debasish Ray Chawdhuri
Debasish Ray Chawdhuri
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Table of Contents (19) Chapters Close

Java 9 Data Structures and Algorithms
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Why Bother? – Basic FREE CHAPTER 2. Cogs and Pulleys – Building Blocks 3. Protocols – Abstract Data Types 4. Detour – Functional Programming 5. Efficient Searching – Binary Search and Sorting 6. Efficient Sorting – quicksort and mergesort 7. Concepts of Tree 8. More About Search – Search Trees and Hash Tables 9. Advanced General Purpose Data Structures 10. Concepts of Graph 11. Reactive Programming Index

Chapter 10. Concepts of Graph

A graph is a generalization of a tree. In a tree, every node has one parent. In a graph, a node can have multiple parents. The most common way to think about a graph is as a set of vertices and edges. Vertices are like points and edges are like lines that connect the points. In the generic notion of a graph, there is no restriction on which vertices can be connected by edges. This allows graphs to model a versatile category of real-life concepts. The Internet, for example, is a graph where the vertices are the web pages and the edges the hyperlinks between the pages. A social networking site, such as Facebook, has a graph of profiles in which the vertices are the profiles and the edges the friendships between the profiles. Each software has a graph of dependencies, called a dependency graph, in which the vertices are the different software libraries used and the edges the dependencies between the software libraries. There is no end to examples of graphs. In...

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