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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

Tree – definition and properties

A tree is made of a set of nodes. Each node is a data structure that contains a key value, a set of children nodes, and a link to a parent node. There is only one node that has no parent: the root of the tree. A tree structure represents data in a hierarchical form, where the root node is on top of the tree and the child nodes are below it.

The tree has some constraints: a node cannot be referenced more than once, and no nodes point to the root, so a tree never contains a cycle:

Tree – definition and properties

Basic tree data structure

Let's see some important terms when talking about tree data structures:

  • Root: The node that is on the top of the tree and is the only node in the tree that has no parent.
  • Node: A data structure that has a value key, and can contain a set of children and a reference to a parent node. If there is no reference to a parent node, the node is the root of the tree. If the node has no children, it is called a leaf.
  • Edge: Represents the connection between...
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