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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

Heap


A heap is a balanced binary tree that follows just two constraints:

  • The value in any node is less than the value in either of the children. This property is also called the heap property.

  • The tree is as balanced as possible—in the sense that any level is completely filled before a single node is inserted in the next level.

The following figure shows a sample heap:

Figure 1. A sample heap

It would not be really clear until we actually discuss how to insert elements and remove the least element. So let's jump into it.

Insertion

The first step of insertion is to insert the element in the next available position. The next available position is either another position in the same level or the first position in the next level; of course, this applies when there is no vacant position in the existing level.

The second step is to iteratively compare the element with its parent and keep switching until the element is bigger than the parent, thus restoring the constraints. The following figure shows the...

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