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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 8: Hash Tables

Question 1

There is a hash table with 40 slots and there are 200 elements stored in the table. What will be the load factor of the hash table?

Solution

The load factor of the hash table = (no. of elements) / (no. of table slots) = 200/40 = 5.

Question 2

What is the worst-case search time of hashing using a separate chaining algorithm?

Solution

The worst-case time complexity for searching in a separate chaining algorithm using linked lists is O(n), because in the worst case, all the items will be added to index 1 in a linked list, searching an item will work similarly to a linked list.

Question 3

Assume a uniform distribution of keys in the hash table. What will be the time complexities for the search/insert/delete operations?

Solution

The index of the hash table is computed from the key in O(1) time when the keys are uniformly distributed in the hash table. The creation of the table will take O(n) time, and other...

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