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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

Minimum spanning tree (MST)

The minimum spanning tree (MST) problem is very common in network designing. Imagine you have a business with several offices and want to connect the office's phone lines with each other with a minimum total cost to save money. Which is the best way of doing this?

This can also be applied to the island bridge problem. Consider you have an n number of islands and want to build bridges to connect each of them with a minimum cost.

Both the preceding problems can be solved with an MST algorithm, in which each office or island can be represented as a vertex of a graph, and the edges represent the cost. Here, we have an example of a graph where the thicker edges are a solution to the MST:

There are two main algorithms to find the minimal spanning trees: Prim's algorithm and Kruskal's algorithm, which you will learn in the following...

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