Mar 24 • 💻 General discussion 💻
Sliding Window: The Trick No One Talks About
Imagine solving problems in O(n²) when O(n) is possible. The sliding window technique can change your life!
The sliding window technique is a genius way to handle problems that require continuous subarrays. Instead of recalculating everything, we "slide" a window across the data, updating values efficiently.
📌 Where it works best:
✅ Finding the maximum sum of a subarray (Kadane’s Algorithm)
✅ Checking for anagrams in a string
✅ Longest substring without repeating characters
Sliding windows can be fixed-size or variable-size, depending on the problem. Once you master it, it saves tons of unnecessary computations.
Have you ever used sliding window to optimize a problem?
What’s a tricky case where it didn’t work?
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Sliding Window: The Trick No One Talks About
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