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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

Dijkstra algorithm


Edsger W. Dijkstra conceived his algorithm to solve the shortest path for graphs between 1956-1959.

His algorithm finds the shortest path between two nodes, but other variants exist to find the shortest paths between an origin and all other nodes; this is called a shortest path tree. Let's see how it works, and then we will implement it in Swift. We are going to explain it with the following example graph. We want the shortest path between node A and node E:

Shortest path example

The steps are as follows:

  1. The algorithm starts by marking the first node as the current node. It puts all the nodes as unvisited inside a set. It also initializes every node with a temporary distance, infinitum or a maximum number:

    Shortest path step 1

  2. Then, for each unvisited neighbor of the current node, calculate the temporary distance from our current node to all its neighbors as the sum of the current node distance and edge weight to the neighbor for each case. If the result is smaller than...

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