Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying Learning JavaScript Data  Structures and Algorithms
  • Table Of Contents Toc
Learning JavaScript Data  Structures and Algorithms

Learning JavaScript Data Structures and Algorithms - Third Edition

By : Loiane Avancini
3.1 (9)
close
close
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)
close
close

Tree terminology


A tree consists of nodes with a parent-child relationship. Each node has a parent (except for the first node at the top) and zero or more children, as in the following figure:

The top node of a tree is called the root (11). It is the node that does not have a parent. Each element of the tree is called a node. There are internal nodes and external nodes. An internal node is a node with at least one child (7591513, and 20 are internal nodes). A node that does not have children is called an external node or a leaf (3, 6, 8, 10, 12, 14, 18, and 25 are leaves).

A node can have ancestors and descendants. The ancestors of a node (except the root) are the parent, grandparent, great-grandparent, and so on. The descendants of a node are children (child), grandchildren (grandchild), great-grandchildren (great-grandchild), and so on. For example, node 5 has 7 and 11 as its ancestors and 3 and 6 as its descendants.

Another terminology used with trees is the subtree. A subtree consists...

CONTINUE READING
83
Tech Concepts
36
Programming languages
73
Tech Tools
Icon Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.
Icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Icon 50+ new titles added per month and exclusive early access to books as they are being written.
Learning JavaScript Data  Structures and Algorithms
notes
bookmark Notes and Bookmarks search Search in title playlist Add to playlist download Download options font-size Font size

Change the font size

margin-width Margin width

Change margin width

day-mode Day/Sepia/Night Modes

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Confirmation

Modal Close icon
claim successful

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY

Submit Your Feedback

Modal Close icon
Modal Close icon
Modal Close icon