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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

Selection Algorithms

One interesting set of algorithms related to finding elements in an unordered list of items is selection algorithms. Given a list of elements, selection algorithms are used to find the kth smallest or largest element from the list. So given a list of data elements and a number (k), the aim is to find the kth smallest or largest element. The simplest case of selection algorithms is to find the minimum or maximum data element from the list. However, sometimes, we may need to find the kth smallest or largest element in the list. The simplest way is to first sort the list using any sorting algorithm, and then we can easily obtain the kth smallest (or largest) element. However, when the list is very large, then it is not efficient to sort the list to get the kth smallest or largest element. In that case, we can use different selection algorithms that can efficiently produce the kth smallest or largest element.

In this chapter, we will cover the following topics...

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