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53. Maximum Subarray(动态规划 求最大子数组)

时间:2018-04-05 15:44:49      阅读:252      评论:0      收藏:0      [点我收藏+]
 

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.

 

递归方程;

dp[i] = dp[i-1]+nums[i] ,dp[i-1]>0

dp[i] = nums[i] ,else

 1 class Solution {
 2     public int maxSubArray(int[] nums) {
 3         int dp[] = new int[nums.length+1];
 4         int max = nums[0];
 5         dp[0] = nums[0];
 6         for(int i =1;i<nums.length;i++){
 7             if(dp[i-1]<=0)
 8                 dp[i] = nums[i];
 9             else
10                 dp[i] = dp[i-1]+nums[i];
11             max = Math.max(dp[i],max);
12         }
13         return max;
14     }
15 }

 

53. Maximum Subarray(动态规划 求最大子数组)

原文:https://www.cnblogs.com/zle1992/p/8722797.html

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