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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 7: Heaps and Priority Queues

Question 1

What will be the time complexity for deleting an arbitrary element from the min-heap?

Solution

To delete any element from the heap, we first have to search the element that is to be deleted, and then we delete the element.

Total time complexity = Time for searching the element + Deleting the element

= O(n) + O(log n)

= O(n)

Question 2

What will be the time complexity for finding the kth smallest element from the min-heap?

Solution

The kth element can be found out from the min-heap by performing delete operations k times. For each delete operation, the time complexity is O(logn). So, the total time complexity for finding out the kth smallest element will be O(klogn).

Question 3

What will be the time complexity to make a max-heap that combines two max-heap each of size n?

Solution

O(n).

Since the time complexity of creating a heap from n elements is O(n), creating a heap of 2n...

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