Devesh Shukla’s Post

Problem Solved: Maximum Subarray ✔️ 210 / 210 test cases passed ✔️ Runtime: 2 ms ✔️ Beats 70.71% submissions Key Idea: This problem is a classic application of "Kadane’s Algorithm". Instead of checking every possible subarray (which would take O(n^2), Kadane’s algorithm takes a smarter approach. As we iterate through the array: Keep a running sum of the current subarray. Update the maximum sum whenever a larger value is found. If the running sum becomes negative, reset it to 0 because a negative prefix will only reduce future sums. Complexity: Time Complexity: O(n) Space Complexity: O(1) Every time I revisit these classic algorithms, it reminds me how elegant good algorithm design can be. #LeetCode #DSA #KadaneAlgorithm #JavaScript #CodingJourney #ProblemSolving #LearnInPublic

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