码迷,mamicode.com
首页 > 其他好文 > 详细

LeetCode--Maximum Subarray

时间:2015-01-12 13:07:22      阅读:149      评论:0      收藏:0      [点我收藏+]

标签:leetcode   array   动态规划   


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.

click to show more practice.

More practice:

If you have figured out the O(n) solution, try coding another solution using the divide and conquer approach, which is more subtle.

动态规划的方法,如果max加上当前元素大于当前元素,则当当前元素加入到数组中时,max的值为当前元素加max。如果小于当前元素,当当前元素加入数组中时的max就是当前元素。

class Solution 
{
public:
    int maxSubArray(int A[], int n) 
	{
		if(n == 0)
			return -1;
		if(n == 1)
			return A[0];
		int max = A[0];
		int res = max;
		for(int i=1; i<n; i++)
		{
			if(max > 0)
				max = A[i] + max;
			else 
				max = A[i];
			if(max > res)
				res = max;
		}
		return res;
    }
};


LeetCode--Maximum Subarray

标签:leetcode   array   动态规划   

原文地址:http://blog.csdn.net/shaya118/article/details/42640333

(0)
(0)
   
举报
评论 一句话评论(0
登录后才能评论!
© 2014 mamicode.com 版权所有  联系我们:gaon5@hotmail.com
迷上了代码!