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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

Initializing queues

Each language provides varying levels of support for the queue data structure. Here are some examples of initializing the collection, adding an object to the back of the collection, and then removing the head object from the head of the collection.

C#

C# provides a concrete implementation of the queue data structure through the Queue<T> generic class:

    Queue<MyObject> aQueue = new Queue<MyObject>(); 
    aQueue.Enqueue(anObject); 
    aQueue.Dequeue(); 
Java

Java provides the abstract Queue<E> interface, and several concrete implementations of the queue data structure use this interface. Queue is also extended to the Deque<E> interface that represents a double-ended queue. The ArrayDeque<E> class is one concrete implementation of the Deque<E> interface:

    ArrayDeque<MyObject> aQueue = new ArrayDeque<MyObject>(); 
    aQueue.addLast(anObject); 
    aQueue.getFirst(); 

Objective-C

Objective-C does not provide a concrete...

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