Sliding Window Pattern: The Secret to Optimizing Subarray Leetcode Problems!

The Sliding Window technique is a powerful optimization pattern for problems involving subarrays or substrings. Instead of brute-force checking every possible window, you maintain a dynamic window using two pointers—one expanding and the other contracting as needed.

🔹 How is it different from Two Pointers?
While Two Pointers is often used for comparing elements (e.g., sorting, merging), Sliding Window is about maintaining a valid range that satisfies a condition (e.g., longest unique substring, max sum subarray).

🔹 Example: Longest Substring Without Repeating Characters (LeetCode 3)
We slide the right pointer to expand the window until we hit a duplicate, then move the left pointer to shrink it, ensuring a valid substring at all times. This achieves an O(n) time complexity, avoiding unnecessary recomputation.

Mastering Sliding Window unlocks fast and efficient solutions for array and string problems! 🚀#shorts #shortvideo #slidingwindows #leetcode #algorithms

Sliding Window: The Secret to Optimizing Subarray Leet Code Problems!

[CodeViento]

Sliding Window is a game-changer! 🔥 Once you get it, problems like LeetCode 3 become so much easier. Who else struggled with this at first? 😅👇