Maximum Subarray LeetCode Solution

Problem – Maximum Subarray LeetCode Solution

Given an integer array nums, find the contiguous subarray (containing at least one number) which has the largest sum and return its sum.

subarray is a contiguous part of an array.

Example 1:

Input: nums = [-2,1,-3,4,-1,2,1,-5,4]
Output: 6
Explanation: [4,-1,2,1] has the largest sum = 6.

Example 2:

Input: nums = [1]
Output: 1

Example 3:

Input: nums = [5,4,-1,7,8]
Output: 23

Constraints:

  • 1 <= nums.length <= 105
  • -104 <= nums[i] <= 104

Maximum Subarray LeetCode Solution in Java

public static int maxSubArray(int[] A) {
    int maxSoFar=A[0], maxEndingHere=A[0];
    for (int i=1;i<A.length;++i){
    	maxEndingHere= Math.max(maxEndingHere+A[i],A[i]);
    	maxSoFar=Math.max(maxSoFar, maxEndingHere);	
    }
    return maxSoFar;
}

Maximum Subarray LeetCode Solution in Java

for i in range(1, len(nums)):
        if nums[i-1] > 0:
            nums[i] += nums[i-1]
    return max(nums)

Maximum Subarray LeetCode Solution in C++

class Solution {
public:
    int maxSubArray(vector<int>& nums) {
        int n = size(nums), ans = INT_MIN;
        for(int i = 0; i < n; i++) 
            for(int j = i, curSum = 0; j < n ; j++) 
                curSum += nums[j],
                ans = max(ans, curSum);        
        return ans;
    }
};
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