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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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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

Understanding the Doubly Linked List

In many operations operated on a Singly Linked List, we've observed that, to get a previous node of any particular node, we need to traverse from the head of the LinkedList. This is a performance hit. Of course, we can ignore it if the LinkedList is small but, for Linked Lists that are big in size, the time taken to get the previous node is larger. To avoid this performance problem, we can simply store the previous node reference of every node in the same way we store the next node reference. This is what we call a Doubly Linked List.

We can represent it in a graphical way as follows:

Like a Singly Linked List, we can perform all of those operations in a Doubly Linked List too. Moreover, all of those operations can be performed much faster because of the previous node's storage. Let's see the full implementation of a Doubly...

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