π₯ LeetCode 1004 β 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:
π How to maintain a dynamic window while handling constraints efficiently
π§© Problem Link:
https://leetcode.com/problems/max-consecutive-ones-iii/
π‘ What youβll 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
β‘ Approach Covered:
πΉ 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
π 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
π― If you found this helpful:
π Like the video
π¬ Comment your doubts or next problem
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