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Hands-On Data Structures and Algorithms with Kotlin

You're reading from   Hands-On Data Structures and Algorithms with Kotlin Level up your programming skills by understanding how Kotlin's data structure works

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Product type Paperback
Published in Feb 2019
Publisher Packt
ISBN-13 9781788994019
Length 220 pages
Edition 1st Edition
Languages
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Authors (2):
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Chandra Sekhar Nayak Chandra Sekhar Nayak
Author Profile Icon Chandra Sekhar Nayak
Chandra Sekhar Nayak
Rivu Chakraborty Rivu Chakraborty
Author Profile Icon Rivu Chakraborty
Rivu Chakraborty
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Toc

Table of Contents (16) Chapters Close

Preface 1. Section 1: Getting Started with Data Structures
2. A Walk Through - Data Structures and Algorithms FREE CHAPTER 3. Arrays - First Step to Grouping Data 4. Section 2: Efficient Grouping of Data with Various Data Structures
5. Introducing Linked Lists 6. Understanding Stacks and Queues 7. Maps - Working with Key-Value Pairs 8. Section 3: Algorithms and Efficiency
9. Deep-Dive into Searching Algorithms 10. Understanding Sorting Algorithms 11. Section 4: Modern and Advanced Data Structures
12. Collections and Data Operations in Kotlin 13. Introduction to Functional Programming 14. Other Books You May Enjoy 15. Assessments

Jump search

Jump search is a slightly modified version of linear search. Instead of searching each index, we jump a few indexes by a fixed number of steps. There is no rule on how many steps we should skip in every iteration.

Let's consider an example to understand this better. Imagine that we've a large array of [1, 5, 7, 12, 18, 25, 37, 49, 62, 73, 89, 103, ........] and we want to search for a number (62 here). We'll perform the following steps:

  1. Check if the value at index 0 (1 here) is equal to x (62 here).
  2. If yes, the search is complete.
  3. If no, jump to index 5 (25 here) and check whether the value is equal to x (62). We skipped 5 indexes here.
  4. There might be many cases where the number might not be present in the array or list. In those cases, we need to stop the search operation as soon as possible. So repeat step 3 until we find a number equal to or greater...
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