Subsets | Simple Story To Code | Leetcode 78 | Recursion Concepts And Questions | Video 10

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Published on February 14, 2024 7:37:15 AM ● Video Link: https://www.youtube.com/watch?v=p4bP_FIXGWw

Duration: 22:05

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This is the 10th video of our playlist "Recursion Concepts And Questions". Find the Details below :

Video Name : Subsets | Simple Story To Code | Leetcode 78 | Recursion Concepts And Questions
Video # : 10
C++/Java Code Link : https://github.com/MAZHARMIK/Interview_DS_Algo/blob/master/Recursion/Subsets.cpp
Leetcode Link : https://leetcode.com/problems/subsets/
GfG Problem Link : https://www.geeksforgeeks.org/problems/subsets-1613027340/1

Note that we can also solve this using Bit-Magic which will be done in our Bit-Magic playlist.

🔍 Unraveling Recursion: A Journey into the Depths of Code

🎥 Welcome to the 10th Video of my Recursion Playlist! 🚀 In this enlightening video, we will solve a very famous recursion/backtracking problem "Subsets" with the help of Recursion. We will start with a Simple story understanding the problem by making a simple choice Diagram and then we will be Converting Story to code and writing the recursive code for the problem and also I will also be explaining the Time and Space Complexity of the code 🌐

🔍 What's Inside?

🔗 Simple story understanding with Subsets generation with a Choice Tree Diagram

🔗 Converting Story to code and writing the recursive code for Subsets generation

🔗 Explanation of Time and Space Complexity of the code

👩‍💻 Who Should Watch?

This playlist is for everyone but best suited for Freshers who are new to Recursion.

🚀 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 approach used in the provided Java code is a recursive backtracking algorithm to generate all possible subsets of an input array. The algorithm explores two possibilities at each step: including or excluding the current element. This is achieved through the solve method, which, when called with a specific index, either adds the current element to the subset and makes a recursive call or skips the current element and proceeds with another recursive call. The base case terminates the recursion when the index exceeds the length of the array. The subsets are stored in the result list, and the space complexity is O(2^N) due to the storage of all possible subsets. The recursion stack space complexity is O(N), where N is the length of the input array, as each recursive call adds a new level to the call stack, and the depth of recursion is equal to the length of the array.

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✨ Timelines✨
00:00 - Introduction
0:09 - Motivation (Bhashan)
0:47 - Problem Explanation
1:56 - Options = Recursion
3:08 - Tree Diagram
7:46 - Time & Space Analysis from Tree Diagram
12:22 - Recursion Magic - Trust (story to code)
16:17 - What if we had duplicates
20:17 - Coding Live on Leetcode


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