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Everyday data structures

You're reading from   Everyday data structures A practical guide to learning data structures simply and easily

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781787121041
Length 344 pages
Edition 1st Edition
Languages
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Author (1):
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William Smith William Smith
Author Profile Icon William Smith
William Smith
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Table of Contents (14) Chapters Close

Preface 1. Data Types: Foundational Structures 2. Arrays: Foundational Collections FREE CHAPTER 3. Lists: Linear Collections 4. Stacks: LIFO Collections 5. Queues: FIFO Collections 6. Dictionaries: Keyed Collections 7. Sets: No Duplicates 8. Structs: Complex Types 9. Trees: Non-Linear Structures 10. Heaps: Ordered Trees 11. Graphs: Values with Relationships 12. Sorting: Bringing Order Out Of Chaos 13. Searching: Finding What You Need

The graph data structure

Before we begin, we need to detail a few characteristics that our graph structure will possess. Our graph will support nodes that have no edges to or from other nodes. Our graph will also support exclusive and bidirectional edges. For the sake of brevity, the edges in our graph collection will not support edge values, but adding values to edges is a simple matter if you decide to use them in your custom implementations.

Our graph will be made up of two classes. The first is the Graph class itself, which in our implementation will contain most of the standard graph operations. The next is a GraphNode class, which will represent the nodes of our collection. Note that this class could also be named GraphVertex or GraphPoint, but in keeping with our tree Node class example from Chapter 9, Trees: Non-linear Structures, we will stick with nodes.

The Graph class will be based on an array or list that contains the root references to the nodes. Each GraphNode object will...

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