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This technique shows how a nested for loop in some problems can be converted to a single for loop to reduce the time complexity. Patreon Link: / adityaverma Video Pdf Notes And Code: / 41813609 Playlist Link: • Sliding Window Algorithm | Face to Face In... Problem Description: https://www.geeksforgeeks.org/window-... Let’s start with a problem for illustration where we can apply this technique: Given an array of integers of size ‘n’. Our aim is to calculate the maximum sum of ‘k’ consecutive elements in the array. Input : arr[] = {100, 200, 300, 400} k = 2 Output : 700 Input : arr[] = {1, 4, 2, 10, 23, 3, 1, 0, 20} k = 4 Output : 39 We get maximum sum by adding subarray {4, 2, 10, 23} of size 4. Input : arr[] = {2, 3} k = 3 Output : Invalid There is no subarray of size 3 as size of whole array is 2. . ------------------------------------------------------------------------------------------ Here are some of the gears that I use almost everyday: 🖊️ : My Pen (Used in videos too): https://amzn.to/38fKSM1 👨🏻💻 : My Apple Macbook pro: https://amzn.to/3w8iZh6 💻 : My gaming laptop: https://amzn.to/3yjcn23 📱 : My Ipad: https://amzn.to/39yEMGS ✏️ : My Apple Pencil: https://amzn.to/3kMnKYf 🎧 : My Headphones: https://amzn.to/3kMOzM7 💺 : My Chair: https://amzn.to/385weqR 🛋 : My Table: https://amzn.to/3kMohtd ⏰ : My Clock: https://amzn.to/3slFUV3 🙋🏻♀️ : My girlfriend: https://amzn.to/3M6zLDK ¯\_(ツ)_/¯ PS: While having good gears help you perform efficiently, don’t get under the impression that they will make you successful without any hard work.

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