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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

Exponential search

Exponential search is another search algorithm that is mostly used when we have large numbers of elements in a list. Exponential search is also known as galloping search and doubling search. The exponential search algorithm works in the following two steps:

  1. Given a sorted array of n data elements, we first determine the subrange in the original list where the desired search item may be present
  2. Next, we use the binary search algorithm to find out the search value within the subrange of data elements identified in step 1

Firstly, in order to find out the subrange of data elements, we start searching for the desired item in the given sorted array by jumping 2i elements every iteration. Here, i is the value of the index of the array. After each jump, we check if the search item is present between the last jump and the current jump. If the search item is present then we use the binary search algorithm within this subarray, and if it is not present...

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