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Learning JavaScript Data  Structures and Algorithms

Learning JavaScript Data Structures and Algorithms - Third Edition

By : Loiane Avancini
3.1 (9)
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Learning JavaScript Data  Structures and Algorithms

Learning JavaScript Data Structures and Algorithms

3.1 (9)
By: Loiane Avancini

Overview of this book

A data structure is a particular way of organizing data in a computer to utilize resources efficiently. Data structures and algorithms are the base of every solution to any programming problem. With this book, you will learn to write complex and powerful code using the latest ES 2017 features. Learning JavaScript Data Structures and Algorithms begins by covering the basics of JavaScript and introduces you to ECMAScript 2017, before gradually moving on to the most important data structures such as arrays, queues, stacks, and linked lists. You will gain in-depth knowledge of how hash tables and set data structures function as well as how trees and hash maps can be used to search files in an HD or represent a database. This book serves as a route to take you deeper into JavaScript. You’ll also get a greater understanding of why and how graphs, one of the most complex data structures, are largely used in GPS navigation systems in social networks. Toward the end of the book, you’ll discover how all the theories presented in this book can be applied to solve real-world problems while working on your own computer networks and Facebook searches.
Table of Contents (17 chapters)
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The heap sort algorithm

We can use the binary heap data structure to help us create a very famous sorting algorithm: the heap sort. The heap sort algorithm consists of three steps:

  1. Create a max heap using the array to be sorted as the source.
  2. After creating the max heap, the largest value will be stored in the first index of the heap. We will replace the first value with the last value of the heap, decreasing the size of the heap by 1.
  3. Finally, we heapify (sift down) the root of the heap and repeat step 2 until the size of the heap is equal to 1.

We use the max heap results in an array sorted in ascending order (from smallest to biggest). If we want the array to be sorted in descending order, we can use the min heap instead.

The following is the code for the heap sort algorithm:

function heapSort(array, compareFn = defaultCompare) {
  let heapSize = array.length;
...
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Learning JavaScript Data  Structures and Algorithms
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