Book Image

Java 9 Data Structures and Algorithms

By : Debasish Ray Chawdhuri
Book Image

Java 9 Data Structures and Algorithms

By: Debasish Ray Chawdhuri

Overview of this book

Java 9 Data Structures and Algorithms covers classical, functional, and reactive data structures, giving you the ability to understand computational complexity, solve problems, and write efficient code. This book is based on the Zero Bug Bounce milestone of Java 9. We start off with the basics of algorithms and data structures, helping you understand the fundamentals and measure complexity. From here, we introduce you to concepts such as arrays, linked lists, as well as abstract data types such as stacks and queues. Next, we’ll take you through the basics of functional programming while making sure you get used to thinking recursively. We provide plenty of examples along the way to help you understand each concept. You will also get a clear picture of reactive programming, binary searches, sorting, search trees, undirected graphs, and a whole lot more!
Table of Contents (19 chapters)
Java 9 Data Structures and Algorithms
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
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...