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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

Randomized selection

The randomized selection algorithm is used to obtain the kth smallest number that is based on the quicksort algorithm; the randomized selection algorithm is also known as quickselect. In Chapter 11, Sorting, we discussed the quicksort algorithm. The quicksort algorithm is an efficient algorithm to sort an unordered list of items. To summarize, the quicksort algorithm works as follows:

  1. It selects a pivot.
  2. It partitions the unsorted list around the pivot.
  3. It recursively sorts the two halves of the partitioned list using steps 1 and 2.

One important fact about quicksort is that after every partitioning step, the index of the pivot does not change, even after the list becomes sorted. This means that after each iteration, the selected pivot value will be placed in its correct position in the list. This property of quicksort enables us to obtain the kth smallest number without sorting the complete list. Let’s discuss the randomized...

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