Counting Sort Algorithm Explained | Data Structures And Algorithms Tutorial | Simplilearn
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 Published On Jul 31, 2021

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This video is based on the counting sort Algorithm. This data structures and Algorithm tutorial make sure that sorting algorithms are explained well to help beginners learn counting sort. The video also covers practical demos for a better learning experience.

This video will cover the following concepts:

00:00 Introduction to Counting Sort Algorithm
00:44 What is Counting Sort Algorithm
01:08 Counting Sort Algorithm
01:43 Implementation of Counting Sort Algorithm
08:16 Conclusion to Counting Sort Algorithm

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What is counting sort?
Counting sort is a sorting algorithm that sorts an array's items by counting the number of times each unique element appears in the array.

It works by determining the positions of each key value in the output sequence by counting the number of objects with distinct key values and applying prefix sum to those counts.
It's frequently used as a subroutine in radix sort, a more efficient sorting method for larger keys.

Counting Sort Time Complexity
It takes time to discover the maximum number, say k.
Initializing the count array will take k seconds.
k times to preserve the count array.
Now you will do the actual sorting by iterating over the input array linearly.
Because all preceding stages are constant regardless of the input array, the best, average, and worst time complexity will remain constant.

What Is a Data Structure?
The short answer is: a data structure is a specific means of organizing data in a system to access and use. The long answer is a data structure is a blend of data organization, management, retrieval, and storage, brought together into one format that allows efficient access and modification. It’s collecting data values, the relationships they share, and the applicable functions or operations.

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 percent 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 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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