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Swift Data Structure and Algorithms

You're reading from   Swift Data Structure and Algorithms Implement Swift structures and algorithms natively

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Product type Paperback
Published in Nov 2016
Publisher Packt
ISBN-13 9781785884504
Length 286 pages
Edition 1st Edition
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Author (1):
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Mario Eguiluz Alebicto Mario Eguiluz Alebicto
Author Profile Icon Mario Eguiluz Alebicto
Mario Eguiluz Alebicto
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Table of Contents (10) Chapters Close

Preface 1. Walking Across the Playground FREE CHAPTER 2. Working with Commonly Used Data Structures 3. Standing on the Shoulders of Giants 4. Sorting Algorithms 5. Seeing the Forest through the Tree 6. Advanced Searching Methods 7. Graph Algorithms 8. Performance and Algorithm Efficiency 9. Choosing the Perfect Algorithm

Prim algorithm


It was Robert C. Prim in 1957 who gave his surname to Prim's algorithm, which takes an undirected connected graph and calculates its MST in linear time.

Other algorithms, such as Kruskal and Borûvka, also calculate the MST of a graph, but in these cases the initial graph is a forest, not an undirected connected graph, which is what we are going to try out now.

Let's see how Prim's algorithm works with a real example. Here's a graph G with the following vertices, edges, and weights:

Initial undirected connected graph

Here are the steps to calculate the MST:

  1. Start with an arbitrary vertex of the graph. For clarity, we are going to start with vertex A. Initialize a tree with that vertex:

    Prim Step 1: Start with an arbitrary vertex

  2. For each edge of the selected node, take the edge with the minimum weight, which points to a node that is not visited. In our case, we get the edge from A to C. Then mark C as visited and save that edge as part of the MST:

    Prim Step 2: Select the minimum...

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