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Java-based LeetCode algorithm problem solutions, regularly updated

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package g0001_0100.s0053_maximum_subarray;

// #Easy #Top_100_Liked_Questions #Top_Interview_Questions #Array #Dynamic_Programming
// #Divide_and_Conquer #Data_Structure_I_Day_1_Array #Dynamic_Programming_I_Day_5
// #Udemy_Famous_Algorithm #2023_08_11_Time_1_ms_(100.00%)_Space_57.7_MB_(90.58%)

public class Solution {
    public int maxSubArray(int[] nums) {
        int maxi = Integer.MIN_VALUE;
        int sum = 0;
        for (int num : nums) {
            // calculating sub-array sum
            sum += num;
            maxi = Math.max(sum, maxi);
            if (sum < 0) {
                // there is no point to carry a -ve subarray sum. hence setting to 0
                sum = 0;
            }
        }
        return maxi;
    }
}