Versatility: They can be applied to a wide range of problems in arrays, strings, and other data structures. Problem: Minimum size subarray sum Two Pointers vs Sliding Window Sliding window problems are similar to the same directions problems, only instead, the function performs on the entire interval between the two pointers. Each time you increase the left pointer, you're knocking out all the substring/subarrays that are rooted at that left pointer (it's impossible to consider them again - and for good reason: the condition would not be satisfied by *any* subset rooted at that left pointer). It's especially useful for: Sorted Jan 26, 2025 · In this video, I talk about the two pointers technique which is a very important DSA topic for coding interviews. 3 days ago · Learn the foundational algorithms every software engineer needs. Recursion & Backtracking – Think N-Queens 2. Sliding Windows and Two Pointers | Sliding Window efficiently finds the maximum or minimum sum of k consecutive elements by maintaining a dynamic subarray, reducing complexity to O (n). Sliding windows are defined by left, and right boundary; thus, the techniques are sometimes called two pointers. The document provides a cheat sheet for Sliding Window and Two Pointers techniques used in algorithm problems. It's a clever optimization that can help reduce time complexity with no added space complexity (a win-win!) by utilizing extra pointers to avoid repetitive operations.

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