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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

Overview of different types of tree


There are different types of tree data structures, each one with their own benefits and implementations. We are going to have a quick look over the most common ones so we can gain a good overview of the different types and choose which one to use in each case wisely.

After the following introduction to the different types of trees, we will go deeper into the details, properties, uses, and implementations.

Binary tree

This is the most basic type of tree to start with. A binary tree is a tree data structure in which any node has at most two children.

In a binary tree, the data structure needs to store values and references inside each node, contain a value key, and potentially, a reference to the parent (except the root), a left reference to a child, and a right reference to another child.

When a node doesn't have a parent, a left child, or a right child, the reference to that element exists, but it contains NULL/nil value.

Binary tree data structure

Binary search...

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