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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

Advanced topics


Queue data structures can be built on several different underlying data structures. Each foundation provides different advantages, and the type that is chosen typically depends on the application's needs. The three most common implementations are array based, linked list based, and heap-based.

Queue data structures are also found in two additional variations, including the double-ended queue and the priority queue. Again, each variation offers advantages and disadvantages and the type that is chosen will largely depend on the needs of your application.

Array-based queues

Array-based queues utilize a mutable array to represent the queue. Both of the examples in Objective-C and Swift take this form. In this implementation, the [0] position of the array represents the head or front of the queue. Although, generally speaking, queues are strictly FIFO collections and developers should not attempt to sort them, array-based queues are particularly difficult and costly to sort. If your...

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