Subarray Product Less Than K | Brute Force to Optimised (Sliding Window) | O(N) Approach Explained
In this video, we solve Subarray Product Less Than K (Leetcode 713) step by step. I have explained: Brute force approach Why brute force is O(N²) Optimized sliding window approach How we reduce time complexity to O(N) Proper intuition behind expanding and shrinking the window This problem is very important to understand the sliding window pattern for interviews. If you are preparing for coding interviews or placements, this will help you build strong fundamentals in array problems. Make sure to watch till the end for the complete dry run and logic explanation. Master the logic, not just the code. Rising Brain (DSA Sheet) - https://www.risingbrain.org/sheet Connect with me here: Linkedin - / anjalikumari22 Instagram - / rbanjali.codes Twitter - https://x.com/anjali1kumari?s=21
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