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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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Toc

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

Summary


In this chapter, we covered the basic concepts of graphs. We learned the different ways we can represent this data structure, and we created a class to represent a graph using an adjacency list. We also learned how to traverse a graph using BFS and DFS approaches. This chapter also covered two applications of BFS and DFS, which find the shortest path using BFS and topological sorting using DFS.

This chapter also covered some famous algorithms, such as Dijkstra's algorithm and the Floyd-Warshall algorithm, to calculate the shortest path. We also covered Prim's algorithm and Kruskal's algorithm to calculate the minimum spanning tree of a graph.

In the next chapter, you will learn about the most common sorting algorithms used in computer science.

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