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Learning JavaScript Data Structures and Algorithms

You're reading from   Learning JavaScript Data Structures and Algorithms Hone your skills by learning classic data structures and algorithms in JavaScript

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Product type Paperback
Published in Jun 2016
Publisher Packt
ISBN-13 9781785285493
Length 314 pages
Edition 2nd 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 (13) Chapters Close

Preface 1. JavaScript—A Quick Overview FREE CHAPTER 2. Arrays 3. Stacks 4. Queues 5. Linked Lists 6. Sets 7. Dictionaries and Hashes 8. Trees 9. Graphs 10. Sorting and Searching Algorithms 11. Patterns of Algorithm 12. Algorithm Complexity

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, the way from Santa Monica Blvd to Hollywood Blvd in Los Angeles, as demonstrated by the following image:

This is a very common problem in our lives, and we will use apps such as Apple or Google Maps and 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 Floyd-Warshall algorithm, which we will cover in the next topics.

Dijkstra's algorithm

Dijkstra's algorithm is a greedy algorithm (you will learn more about greedy algorithms in Chapter 11Patterns of Algorithm ) to calculate...

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