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Learning Functional Data Structures and Algorithms

You're reading from   Learning Functional Data Structures and Algorithms Learn functional data structures and algorithms for your applications and bring their benefits to your work now

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Product type Paperback
Published in Feb 2017
Publisher Packt
ISBN-13 9781785888731
Length 318 pages
Edition 1st Edition
Languages
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Authors (2):
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Raju Kumar Mishra Raju Kumar Mishra
Author Profile Icon Raju Kumar Mishra
Raju Kumar Mishra
Atul S. Khot Atul S. Khot
Author Profile Icon Atul S. Khot
Atul S. Khot
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Table of Contents (14) Chapters Close

Preface 1. Why Functional Programming? 2. Building Blocks FREE CHAPTER 3. Lists 4. Binary Trees 5. More List Algorithms 6. Graph Algorithms 7. Random Access Lists 8. Queues 9. Streams, Laziness, and Algorithms 10. Being Lazy - Queues and Deques 11. Red-Black Trees 12. Binomial Heaps 13. Sorting

Quick sort

Quick sort is also known as partition exchange sort. It was developed by Tony Hoare. Quick sort also utilizes the power of divide and conquer, which we came to understand in the previous section. It is just about dividing a problem into approximately similar sub problems, solving each sub problem separately, and combining the results of the sub problems to deliver the final result.

Quick sort steps can be laid out in following fashion:

  1. We select a pivot element. Selecting a proper pivot is very necessary for efficiency in a quick sort algorithm.
  2. We put the pivot element in such a location that all the elements on its left are less than the pivot element, and all the elements on its right are greater than the pivot. This way, we partition the sequence into two parts.
  3. Sort the subsequence on the left side of the pivot element and that on the right side of the pivot element recursively.

No worries, we will have a detailed discussion on all the steps in the following pages. Let&apos...

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