【转载】leetcode 53. Maximum Subarray(DP动态规划问题)

问题描述:

  Find the contiguous subarray within an array (containing at least one number) which has the largest sum.

For example, given the array [-2,1,-3,4,-1,2,1,-5,4], 
the contiguous subarray [4,-1,2,1] has the largest sum = 6.

思路:

  本题为最优解问题,可利用动态规划思路求解。从头到尾遍历每一个数组元素,如何前面元素的和为正,则加上本元素的值继续搜索;如何前面元素的和为负,则此元素开始新的和计数。整个过程中要注意更新和的最大值。

代码:

class Solution {
    public int maxSubArray(int[] nums) {
        if(nums == null) return 0;
        int sum = 0;
        int max = Integer.MIN_VALUE;
        for(int i = 0 ; i < nums.length; i++){
            if(sum + nums[i] > nums[i])
                sum += nums[i];
            else
                sum = nums[i];
            if(sum > max)
                max = sum;
        }
        return max;       
    }
}

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转载自blog.csdn.net/ljh0302/article/details/80348454