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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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 Smith Smith
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Smith
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Table of Contents (20) Chapters Close

Everyday Data Structures
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Preface
1. Data Types: Foundational Structures FREE CHAPTER 2. Arrays: Foundational Collections 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

Chapter 7. Sets: No Duplicates

Within the confines of computer science, sets are typically used as a simple collection of objects that contain no duplicates. In the broader realm of mathematics in general, however, a set is an abstract data structure that can be described as a collection of distinct objects or values stored in no particular order. For the purpose of this discussion, we will choose to view a set as the computer implementation of a mathematically finite set.

When working with problems to which the mathematical concepts of set theory can be applied, set data structures provide a powerful group of tools for combining and examining relationships between collections of similar objects. However, even outside set theory and mathematics, the set data structure provides functionality that can be useful in everyday applications. For example, since a set naturally eliminates duplicates, any application that requires maintaining or editing a collection of unique elements would benefit...

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