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πŸ”₯ LeetCode 1004 – Max Consecutive Ones III | Sliding Window Explained Simply | JavaScript | Day 16

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May 12, 2026
13:14

πŸ”₯ LeetCode 1004 – Max Consecutive Ones III | Full Explanation + Sliding Window | Day 16 In this video, we break down an important array problem β€” Max Consecutive Ones III β€” and learn how to solve it using the powerful Sliding Window technique. This problem is frequently asked in coding interviews because it teaches a key concept: πŸ‘‰ How to maintain a dynamic window while handling constraints efficiently 🧩 Problem Link: https://leetcode.com/problems/max-consecutive-ones-iii/ πŸ’‘ What you’ll learn in this video: - What is the Dynamic Sliding Window technique - How to handle at most k invalid elements - How to expand and shrink a window efficiently - How to track maximum subarray length - Step-by-step beginner-friendly explanation ⚑ Approach Covered: πŸ”Ή Sliding Window (Optimal Approach) - Expand the window using the right pointer - Count zeros inside the current window - If zeros become greater than k, shrink window - Move left pointer until window becomes valid - Track maximum valid window length πŸš€ Why this problem is important? - Introduces Dynamic Sliding Window pattern - Helps solve many subarray and substring problems - Improves optimization thinking - Commonly asked in coding interviews and online assessments 🎯 If you found this helpful: πŸ‘ Like the video πŸ’¬ Comment your doubts or next problem πŸ”” Subscribe to jdcodebase for daily LeetCode & DSA content #leetcode #dsa #codinginterview #javascript #slidingwindow #arrays #algorithms #programming #jdcodebase #leetcode75 #day16 πŸš€

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πŸ”₯ LeetCode 1004 – Max Consecutive Ones III | Sliding Window Explained Simply | JavaScript | Day 16 | NatokHD