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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

Insertion sort

An insertion sort is a very simple algorithm that looks at an object in a collection and compares its key to the keys prior to itself. You can visualize this process as how many of us order a hand of playing cards, individually removing and inserting cards from left to right in ascending order.

For example, consider the case of ordering a collection in ascending order. An insertion sort algorithm will examine an object at index i and determine if it's key is lower in value or priority than the object at index i - 1. If so, the object at i is removed and inserted at i - 1. At this point, the function will repeat and continue to loop in this manner until the object key at i - 1 is not lower than the object key at i.

Given the following set of values:

S = {50, 25, 73, 21, 3}

Our algorithm will begin examining the list at i = 1. We do this because at i = 0, i - 1 is a non-existent value and would require special handling.

Since 25 is less than 50, it is removed and reinserted...

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