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Hands-On Data Structures and Algorithms with Python – Third Edition

You're reading from   Hands-On Data Structures and Algorithms with Python – Third Edition Store, manipulate, and access data effectively and boost the performance of your applications

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Product type Paperback
Published in Jul 2022
Publisher Packt
ISBN-13 9781801073448
Length 496 pages
Edition 3rd Edition
Languages
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Author (1):
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Dr. Basant Agarwal Dr. Basant Agarwal
Author Profile Icon Dr. Basant Agarwal
Dr. Basant Agarwal
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Toc

Table of Contents (17) Chapters Close

Preface 1. Python Data Types and Structures FREE CHAPTER 2. Introduction to Algorithm Design 3. Algorithm Design Techniques and Strategies 4. Linked Lists 5. Stacks and Queues 6. Trees 7. Heaps and Priority Queues 8. Hash Tables 9. Graphs and Algorithms 10. Searching 11. Sorting 12. Selection Algorithms 13. String Matching Algorithms 14. Other Books You May Enjoy
15. Index
Appendix: Answers to the Questions

Chapter 12: Selection Algorithm

Question 1

What will be the output if the quickselect algorithm is applied to the given array arr=[3, 1, 10, 4, 6, 5] with k given as 2?

Solution

  1. Given the initial array: [3, 1, 10, 4, 6, 5], we can find the median of medians: 4 (index = 3).
  2. We swap the pivot element with the first element: [4, 1, 3, 10, 6, 5].
  3. We will move the pivot element to its correct position: [1, 3, 4, 10, 6, 5].
  4. Now we get a split index equal to 2 but the value of k is also equal to 2, hence the value at index 2 will be our output. Hence the output will be 4.

Question 2

Can quickselect find the smallest element in an array with duplicate values?

Solution

Yes, it works. By the end of every iteration, we have all elements less than the current pivot stored to the left of the pivot. Let’s consider when all elements are the same. In this case, every iteration ends up putting a pivot element to the left of the array...

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