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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

Shortest path algorithms


Given a map of streets, consider you want to get from point A to point B using the shortest path possible. We can use, as an example for this problem, directions from Santa Monica Blvd to Hollywood Blvd in Los Angeles, as demonstrated by the following screenshot:

This is a very common problem in our lives, and we will use apps such as Apple, or Google Maps, or Waze to try to solve it, especially if you live in a big city. Of course, we also have other constraints involved, such as time or car traffic, but the original problem remains: how do we get from A to B using the shortest path?

We can use graphs to solve this problem for us, and the algorithm is called the shortest path. There are two algorithms that are very famous, which are Dijkstra's algorithm and the Floyd-Warshall algorithm, which we will cover in the next sections.

Dijkstra's algorithm

Dijkstra's algorithm is a greedy algorithm (you will learn more about greedy algorithms in Chapter 14, Algorithm Design...

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