Quick Sort | Simple Story | Story To Code | Recursion Concepts And Questions | Video 9
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This is the 9th video of our playlist "Recursion Concepts And Questions". Find the Details below :
Video Name : Quick Sort | Simple Story | Story To Code | Recursion Concepts And Questions
Video # : 9
C++/Java Code Link : https://github.com/MAZHARMIK/Interview_DS_Algo/blob/master/Recursion/Quick%20Sort.cpp
GfG Problem Link : https://www.geeksforgeeks.org/problems/quick-sort/1
๐ Unraveling Recursion: A Journey into the Depths of Code
๐ฅ Welcome to the 9th Video of my Recursion Playlist! ๐ In this enlightening video, we will solve a very famous sorting problem "QuickSort" with the help of Recursion. We will start with a Simple story understanding with Quick Sort with a simple Diagram and then we will be Converting Story to code and writing the recursive code for Quick Sort and also I will also be explaining the Time and Space Complexity of the code ๐
๐ What's Inside?
๐ Simple story understanding with Quick Sort with a Tree Diagram
๐ Converting Story to code and writing the recursive code for Quick Sort
๐ Explanation of Time and Space Complexity of the code
๐ฉโ๐ป Who Should Watch?
This playlist is for everyone but best suited for Freshers who are new to Recursion.
๐ Embark on the Recursive Adventure Now!
My DP Concepts Playlist : https://youtu.be/7eLMOE1jnls
My Graph Concepts Playlist : https://youtu.be/5JGiZnr6B5w
My GitHub Repo for interview preparation : https://github.com/MAZHARMIK/Interview_DS_Algo
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Approach Summary : The algorithm works by selecting a "pivot" element from the array and partitioning the other elements into two sub-arrays based on whether they are less than or greater than the pivot. This process is then applied recursively to the sub-arrays. The key to QuickSort's efficiency lies in its ability to sort small partitions independently and in-place, minimizing the need for additional memory. While QuickSort has excellent average-case performance, its worst-case time complexity can be O(n^2) if the pivot selection consistently results in unbalanced partitions. To mitigate this, various techniques such as randomized pivot selection are often employed. Overall, QuickSort is a versatile and efficient sorting algorithm, widely used in practice for its speed and simplicity.
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โจ Timelinesโจ
00:00 - Introduction
00:12 - Motivation (Bhashan)
01:03 - What is Quick Sort - 3 Steps
02:18 - Understanding from an Example
10:08 - Story to code
15:16 - Example to understand Partitioning
21:11 - Partitioning code intuition
29:38 - Detailed Time & Space Complexity
31:53 - Deriving Time Complexity using equation
44:19 - Coding live
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