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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

Spanning tree


A spanning tree T of a graph G is a subgraph that is a tree and must contain all the vertices of G. In order to fulfill this condition, G must be a connected graph (that is, all vertices have at least one connection to another vertex).

Take a look at the following example of a graph and its spanning trees:

A graph and its spanning trees example

Note that there could be more than one spanning tree for any graph G. If graph G is a tree, then there is only one spanning tree, which is the tree itself:

A tree and its spanning tree example

Remember the BFS and DFS algorithms? Well, both of them will give us one of the spanning trees of a graph.

Spanning tree applications include several examples, such as pathfinding algorithms (such as Dijkstra and A*), speech recognition, Internet routing protocol techniques to avoid loops, and so on. Most of them make use at some point of the minimum spanning tree, which we are going to see next.

Minimum spanning tree

In some scenarios where we can...

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