//Given an integer array nums, find the contiguous subarray (containing at least
// one number) which has the largest sum and return its sum.
//
// A 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
//
//
//
// Follow up: If you have figured out the O(n) solution, try coding another solu
//tion using the divide and conquer approach, which is more subtle.
// Related Topics Array Divide and Conquer Dynamic Programming
// 👍 22902 👎 1114
//leetcode submit region begin(Prohibit modification and deletion)
class Solution {
public int maxSubArray(int[] nums) {
int result = Integer.MIN_VALUE;
int curSum = 0;
for (int num : nums) {
curSum += num;
if (curSum > result) {
result = curSum;
}
if (curSum < 0) {
curSum = 0;
}
}
return result;
}
}
//leetcode submit region end(Prohibit modification and deletion)