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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

AVL trees


Invented by Georgy Adelson-Velski and Evgenii Landis, and named with their initials, AVL trees were the first self-balance binary search tree created.

AVL tree's special characteristic is if the height of a node subtree is N, the height of the other subtree of the same node must be in the range [N-1, N+1]. This means that heights of both children should differ at most one.

For example, if the height of the right subtree is 3, the height of the left subtree could be 2, 3, or 4. The difference between both heights is called the Balance factor:

Balance factor = Height(RightSubtree) - Height(LeftSubtree)

AVL tree example with balance factors of each node

In the preceding figure, the balance factor of a valid AVL tree is in the range [-1, 1] for every node. Leaves have a balance factor of 0.

  • If Balance factor is < 0, the node is called left heavy

  • If Balance factor is = 0, the node is called balanced

  • If Balance factor is > 0, the node is called right heavy

If a child subtree doesn...

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