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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

Tree structures


Before we begin, we need to detail a few characteristics our tree structure will possess. For starters, we are going to create an ordered tree so we are not going to allow duplicate values to be added, which will simplify our implementation. Also, we are going to restrict each node to two child nodes. Technically this means we are defining a binary tree structure, but for now we are going to ignore the specific advantages and applications of such a structure and examine that definition in more detail later. Next, our structure is going to implement data and children operations by simply exposing the underlying objects contained in each node. We will not be implementing the parent operation because we have no need to traverse the tree backward at this time.

The insert operation will be implemented as two separate methods supporting raw data and an existing node, while the graft operation will only support existing nodes. Due to our decision not to permit duplicates, the graft...

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