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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

Splay trees


Splay trees are a specific type of binary search tree in which there is an operation called splaying, which grants the tree the ability to quickly access recently visited nodes.

The splay operation puts the last accessed node as the new root of the tree. Recently visited nodes always have a minimum height, therefore they are easy and quick to access again. We can say that splay trees optimize themselves by performing a mix of searches and tree rotations.

The average height is O(log(n)) and the worst (and most unlikely) scenario is O(n). The amortized time of each operation on a n-node tree is O(log(n)). The amortized time analysis is used when we don't always expect the worst scenario so we can consider different scenarios (not just the worst) in the overall time complexity of the algorithm.

Two common uses of splay trees are caches and garbage collections. In both cases, we get the benefits of quick access to recently visited nodes, so this particular implementation of the binary...

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