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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

Implementing stacks

A stack can be implemented using any linear collection. In this section, we're going implement it using Array and LinkedList. Using an array, we can implement stacks of fixed and dynamic sizes.

Stacks with a fixed size

Although a fixed sized stack can be implemented using any linear data structure, we'll implement it using an array for simplicity.

In this implementation, as the stack size is fixed, the push() operation throws StackOverflowException after the stack is full. Similarly, the pop() operation throws StackUnderflowException when the stack is empty.

Here's is the implementation:

class FixedStack<E> {

private val elements: Array<Any?>
private var size = 0

constructor...
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