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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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Toc

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

Binary trees


As we have seen before, a binary tree consists of a tree in which the maximum number of children per node is two. This property ensures us that every node has a finite number of children. Moreover, we can assign them known references, left and right children.

Types and variations

Before getting into the Swift implementation, let's define some different types of binary tree:

  • Full binary tree: When for every node N in the tree, N has zero or two children (but never one).

Full binary tree compared to a not full binary tree

  • Perfect binary tree: All interior nodes have two children. All leaves have the same depth.

Perfect binary tree

  • Complete binary tree: All levels are 100% filled by nodes except the last one, which can be not fully completed but in which the existent nodes are in the left side of the tree.

Complete binary tree

  • Balanced binary tree: It has the minimum possible height for the leaf nodes.

Balanced binary tree

Code

For a binary tree implementation, the data structure...

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