Circular Queue In Data Structure | Circular Queue Explained | Data Structures Tutorial | Simplilearn

Publicado em: 07 Agosto 2021
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This video on Circular Queue in Data Structure will acquaint you with a clear understanding of circular queue implementation. In this video, you will understand array implementation and linked list implementation of circular queues using the C programming language. Finally, it will cover the applications of a circular queue to understand its importance. So, let's get started!

The topics covered in this Circular Queue In Data Structure video are:
00:00:00 Introduction to Circular Queue In Data Structure
00:01:07 Why was the Concept of Circular Queue In Data Structure Introduced?
00:04:11 Representation of Circular Queue In Data Structure Using Arrays and Linked Lists
00:08:25 Implementation of Circular Queue In Data Structure Using Array/Linked List
00:36:17 Applications of the Circular Queue In Data Structure

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What Is Circular Queue in Data Structure?
A circular Queue is a linear data structure in which operations are conducted according to the First In First Out principle, and the last position is connected back to the first to form a circle. That is why It's also known as a Ring Buffer. The concept of circular link removes memory management issues in a linear queue. Hence, it is considered as the better version of the queue data structure.

What is Circular Queue In Data Structure?
A circular queue is an extended version of a linear queue as it follows the First In First Out principle with the exception that it connects the last node of a queue to its first by forming a circular link. Hence, it is also called a Ring Buffer.

You can implement the circular queue using both the 1-D array and the Linked list. However, implementing a circular link is a new addition that you need to execute. Additionally, this queue works by the process of circular incrementation. That is, when you reach the end of a queue, you start from the beginning of a queue. The circular incrementation is achievable with the help of the modulo division.

Why Is Data Structure Important?
The digital world processes an increasing amount of data every year. According to Forbes, there are 2.5 quintillion bytes of data generated daily. The world created over 90 per cent of the existing data in 2018 in the previous two years! The Internet of Things (IoT) is responsible for a significant part of this data explosion. Data structures are necessary to manage the massive amounts of generated data and are a critical factor in boosting algorithm efficiency. Finally, since nearly all software applications use data structures and algorithms, your education path needs to include learning data structure and algorithms if you want a career as a data scientist or programmer. Interviewers want qualified candidates who understand how to use data structures and algorithms, so the more you know about the concepts, the more comfortably and confidently you will answer data structure interview questions.

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