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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

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 MST:

Minimum spanning tree (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 topics.

Prim's algorithm

Prim's algorithm is a greedy algorithm that finds an MST problem for a connected...

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