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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

Common operations


Tree data structures can consistent of 1...n nodes., which means that even a single node without a parent or any children is still considered a tree. Therefore, many of the common operations associated with trees can be defined in terms of a single node, or from the perspective of the same. Here is a list of the most common operations associated with trees

  • Data: The data operation is associated with a single node, and returns the object or value contained in that node.

  • Children: The children operation returns the collection of siblings associated with this parent node.

  • Parent: Some tree structures provide a mechanism to "climb" the tree, or traverse the structure from any particular node back toward the root.

  • Enumerate: An enumeration operation will return a list or some other collection containing every descendant of a particular node, including the root node itself.

  • Insert: An insert operation allows a new node to be added as a child of an existing node in the tree. The insert...

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