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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

Linked heap


A linked heap is an actual binary tree where every node holds references to its children. We first create a skeleton structure for our heap:

public class LinkedHeap<E> implements PriorityQueue<E>{

    protected static class Node<E>{
        protected E value;
        protected Node<E> left;
        protected Node<E> right;
        protected Node<E> parent;
        public Node(E value, Node<E> parent){
            this.value = value;
            this.parent = parent;
        }
    }
    …
}

To keep track of the next position, each position is given a number, just like we did in our array-based representation. We have the same calculation for the index of the parent and children. But, in this case, looking up the value at a particular index requires a traversal from the root to that node. We create a method to do this. Note that since we are not using an array, the position starts from 1. We start by finding the parent node recursively....

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