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Swift Data Structure and Algorithms

You're reading from  Swift Data Structure and Algorithms

Product type Book
Published in Nov 2016
Publisher Packt
ISBN-13 9781785884504
Pages 286 pages
Edition 1st Edition
Languages
Author (1):
Mario Eguiluz Alebicto Mario Eguiluz Alebicto
Profile icon Mario Eguiluz Alebicto

Table of Contents (15) Chapters

Swift Data Structure and Algorithms
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. Walking Across the Playground 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

Depth first search


When we have a graph (such as a tree or a binary tree) with information, it is very useful (and common) in the real world to visit the vertices/nodes of the graph looking for some info.

Depth First Search (DFS) is one of the most famous techniques to do this. This type of traversal visits nodes from top to bottom with only one condition: when visiting a node, you must visit the first (left) child of it, then the node itself, then the following child (to the right). Let's see an example with a binary search tree (which is a graph). Remember that a binary search tree is an ordered tree in which each node has at most two children.

Take a look at the following example:

DFS example

Try to apply this recursive pseudocode to the previous figure (in your mind), starting from the root node:

public func depthFirstSearch(node:TreeNode) {
    depthFirstSearch(node.leftChild)
    print(node.value)
    depthFirstSearch(node.rightChild)
}

As you can see, we have a binary...

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