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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

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788623872
Length 426 pages
Edition 3rd Edition
Languages
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Author (1):
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Loiane Avancini Loiane Avancini
Author Profile Icon Loiane Avancini
Loiane Avancini
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Table of Contents (17) Chapters Close

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 16. Other Books You May Enjoy

Creating the Graph class


As usual, we will declare the basic structure of our class:

class Graph {
  constructor(isDirected = false) {
    this.isDirected = isDirected; // {1}
    this.vertices = []; // {2}
    this.adjList = new Dictionary(); // {3}
  }
} 

The Graph constructor can receive a parameter to indicate if the graph is directed or not ({1}), and by default, the graph will not be directed. We will use an array to store the names of all the vertices of the graph ({2}), and we will use a dictionary (implemented in Chapter 8, Dictionaries and Hashes) to store the adjacent list ({3}). The dictionary will use the name of the vertex as a key and the list of adjacent vertices as a value.

Next, we will implement two methods: one to add a new vertex to the graph (because when we instantiate the graph, it will create an empty graph with no vertices), and another method to add edges between the vertices. Let's implement the addVertex method first, as follows:

addVertex(v) {
  if (!this.vertices...
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