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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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Toc

Table of Contents (13) Chapters Close

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

Representation of a graph in memory


A graph can be represented mainly in three different ways: adjacency matrix, adjacency list, and incidence matrix.

Adjacency matrix

An adjacency matrix is a matrix, a table of values, where each value represents an edge and both the rows are the columns that represent the vertices. The values in a matrix can be the members of the entry. The values of the edges can be stored in the matrix itself. There could also be a special value for representing the absence of an edge. The following image shows an adjacency matrix for the graph in Figure 1, where the value of the edge represents the number of edges between the corresponding vertices:

The following things can be noted about an adjacency matrix:

  • Rows are used to represent the sources and columns to represent the targets of the edges

  • In the case of an undirected graph, the source and target are indistinguishable, so the adjacency matrix is symmetric

The following code provides an implementation of the graph ADT...

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