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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

Binary tree


A binary tree is a tree that has a maximum of two children per node. The two children can be called the left and the right child of a node. The following figure shows an example of a binary tree:

Example binary tree

This particular tree is important mostly because of its simplicity. We can create a BinaryTree class by inheriting the general tree class. However, it will be difficult to stop someone from adding more than two nodes and will take a lot of code just to perform the checks. So, instead, we will create a BinaryTree class from scratch:

public class BinaryTree<E>  {

The Node has a very obvious implementation just like the generic tree:

    public static class Node<E>{
        private E value;
        private Node<E> left;
        private Node<E> right;
        private Node<E> parent;
        private BinaryTree<E> containerTree;

        protected Node(Node<E> parent,
        BinaryTree<E> containerTree, E value) {
           ...
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