Longest Nice Subarray | Brute Force | Better | Optimal | Dry Runs | Leetcode 2401 | codestorywithMIK

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Published on March 18, 2025 3:19:59 AM ● Video Link: https://www.youtube.com/watch?v=t2p4Sn0Qepo

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Brute Force (2003)

Duration: 0:00

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Sliding Window Playlist -    • Sliding Window : Popular Interview Pr...  

Hi Everyone, this is the 37th video of our Playlist "Sliding Window : Popular Interview Problems".Now we will be solving a good Sliding Window problem - Longest Nice Subarray | Brute Force | Better | Optimal | Dry Runs | Leetcode 2401 | codestorywithMIK

We will understand from Brute Force and then with a better approach to know why it is a Sliding Window Problem and then we will use the same Khandani Template of Sliding Window.We will do a deep dive and complete dry run.

Problem Name : Longest Nice Subarray | Brute Force | Better | Optimal | Dry Runs | Leetcode 2401 | codestorywithMIK
Company Tags : will update later
My solutions on Github(C++ & JAVA) : https://github.com/MAZHARMIK/Interview_DS_Algo/blob/master/Sliding Window/Longest Nice Subarray.cpp
Leetcode Link : https://leetcode.com/problems/longest-nice-subarray/description/

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Video Summary :
Approach-1 (Brute Force):
This method checks every possible subarray to determine if it is "nice" by ensuring no two elements share common bits. It iterates through all subarrays and updates the result accordingly.Approach-2 (Better):
Instead of checking all subarrays independently, this approach maintains a bitmask while iterating. It stops extending a subarray once a conflict is detected, reducing unnecessary checks.Approach-3 (Sliding Window):
This method uses a two-pointer technique to dynamically adjust the window size. When a conflict arises, it shrinks the window from the left while maintaining the largest valid subarray found so far.


 Timelines
00:00 - Introduction
0:25 - Motivation
0:45 - Problem Explanation
2:15 - Brute Force Approach
5:30 - How to check Nice in O(n)
17:31 - Better Approach
23:14 - Why Sliding Window
33:15 - Coding it up


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