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VIDEO Quick Sort Algorithm | Quick Sort In Data Structure | Sorting Algorithms Explained | Simplilearn

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This video is based on quick sort Algorithm. This Quick sort in data structures tutorial explains sorting algorithms to help beginners learn quick sort. The video also covers practical demo for a better learning experience.

This video will cover the following concepts:

00:00 Introduction to Quick Sort Algorithm
00:41 What is Quick Sort Algorithm
01:08 Quick Sort Algorithm
01:47 Implementation of Quick Sort Algorithm
10:54 Conclusion of Quick Sort Algorithm

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What is Quick Sort Algorithm?
Quick Sort Algorithm is a highly efficient sorting algorithm and is based on partitioning of array of data into smaller arrays and then sort the two resulting subarrays in the same manner.

Working of QuickSort in C
Depending on the pivot selected, the quicksort in C will work as below:

Once the pivot is selected, the elements smaller than the pivot are placed to its left, and the higher ones are put to the right. This helps to select the correct position for the pivot element in the array.
The array is then further divided, with the pivot being the last element of the first subarray and the rest being the second subarray.

Time Complexity
The average time taken by a quicksort algorithm can be calculated as below:

T(n) = T(k) + T(n-k-1) + theta(n)

The time complexity of the quicksort in C for various cases is:

Best case scenario: This case occurs when the selected pivot is always middle or closest to the middle element of the array. The time complexity for such a scenario is O(n*log n).
Worst case scenario: This is the scenario where the proper position of the selected pivot is always the first or last element of the array. In this case, one of the divided arrays will have no element, and the other will have (n-1) elements, where n is the total number of elements of the array. Hence, the sorting and partition will occur in only one of the arrays. The time complexity for this case will be O(n²).
Average case scenario: This case occurs when the pivot is not the middle element or the farthest element of the array. The time complexity here will be O(n*log n).

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 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 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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