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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

Summary


In this chapter we discussed several of the more common sorting algorithms you might encounter in your day-to-day experience. We started with several comparison sorts including selection, insertion, and bubble. We noted that a selection sort is perhaps the most inefficient sorting algorithm you are likely to encounter in the real world, but that's not to say that it is completely academic. Insertion sort somewhat improves on selection, as does the bubble sorting algorithm. Next, we examined two divide and conquer sorting algorithms including quick sort and merge sort. Both of these approaches are much more efficient than comparison sorts. Finally, we explored a common and highly efficient distribution sort called the counting sort. The counting sort is the most efficient algorithm we examined, but it is not necessarily the best fit for every situation.

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