Count Subarrays With Score Less Than K | Khandani Template Simple | Leetcode 2302 | codestorywithMIK

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Hi Everyone, this is the 40th video of our Playlist "Sliding Window : Popular Interview Problems".
Now we will be solving a good Sliding Window problem - Count Subarrays With Score Less Than K | Khandani Template Simple | Dry Run | Leetcode 2302 | codestorywithMIK

I will explain it in full detail so that it becomes easy to understand. Why Sliding Window ? And then doing complete dry run with khandani sliding window template

Problem Name : Count Subarrays With Score Less Than K | Khandani Template Simple | Dry Run | Leetcode 2302 | codestorywithMIK
Company Tags : will update later
Code Github(C++ & JAVA) - https://github.com/MAZHARMIK/Interview_DS_Algo/blob/master/Sliding%20Window/Count%20Subarrays%20With%20Score%20Less%20Than%20K.cpp
Leetcode Link : https://leetcode.com/problems/count-subarrays-with-score-less-than-k
My DP Concepts Playlist : https://youtu.be/7eLMOE1jnls
My Graph Concepts Playlist : https://youtu.be/5JGiZnr6B5w
My Segment Tree Concepts Playlist : https://www.youtube.com/watch?v=k99r1A7krcY&list=PLpIkg8OmuX-K1qUIQToCllUO0UIKXt8dB
My Recursion Concepts Playlist : https://www.youtube.com/watch?v=pfb1Zduesi8&list=PLpIkg8OmuX-IBcXsfITH5ql0Lqci1MYPM
Trie Playlist - https://www.youtube.com/watch?v=DMP2bqW6URA&list=PLpIkg8OmuX-I99uuP2BZOz4mI_lms4gVG
Difference Array Technique: Concepts & Qns : https://www.youtube.com/watch?v=ZHNVmtm08WY&list=PLpIkg8OmuX-Kqkb8DqDe_4-Tiav6ilS_L
My GitHub Repo for interview preparation : https://github.com/MAZHARMIK/Interview_DS_Algo
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Video Summary :
This approach uses a sliding window to count the number of subarrays where the product of the sum and the subarray's length is less than k. It expands the window by moving the right pointer (j) and shrinks it from the left (i) when the condition is violated. At each step, it adds the number of valid subarrays ending at j to the result.

✨ Timelines✨
00:00 - Introduction
0:33 - Motivation
0:51: - Problem Explanation
2:58 - Thought Process. Why Sliding Window ?
3:34 - Complete Dry Run
6:38 - One Important Observation
15:24 - Summary Story Points
17:55 - Coding it up

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