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Learning JavaScript Data Structures and Algorithms

You're reading from Learning JavaScript Data Structures and Algorithms Write complex and powerful JavaScript code using the latest ECMAScript

Product type Paperback

Published in Apr 2018

Publisher Packt

ISBN-13 9781788623872

Length 426 pages

Edition 3rd Edition

Languages

JavaScript

Tools

ECMAScript

Concepts

Data Structures and Algorithms

Author (1):

Loiane Avancini

View More author details

Table of Contents (22) Chapters

Title Page

Dedication

Packt Upsell

Contributors

Preface

1. JavaScript – A Quick Overview FREE CHAPTER

2. ECMAScript and TypeScript Overview

3. Arrays

4. Stacks

5. Queues and Deques

6. Linked Lists

7. Sets

8. Dictionaries and Hashes

9. Recursion

10. Trees

11. Binary Heap and Heap Sort

12. Graphs

13. Sorting and Searching Algorithms

14. Algorithm Designs and Techniques

15. Algorithm Complexity

1. Other Books You May Enjoy

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Index

Chapter 10. Trees

So far in this book, we have covered some sequential data structures. The first non-sequential data structure we covered in this book was the Hash Table. In this chapter, you will learn about another non-sequential data structure called a tree, which is very useful for storing information that needs to be found easily.

In this chapter, we will cover:

Tree terminology
Creating a binary search tree
Traversing a tree
Adding and removing nodes
The AVL tree

The rest of the chapter is locked

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