标签:tco follow lan 子列 时间 maximum 复杂 NPU exp
Given an integer array nums, find the contiguous subarray (containing at least one number) which has the largest sum and return its sum.
Example:
Input: [-2,1,-3,4,-1,2,1,-5,4],
Output: 6
Explanation: [4,-1,2,1] has the largest sum = 6.
Follow up:
If you have figured out the O(n) solution, try coding another solution using the divide and conquer approach, which is more subtle.
思路:用maxSum记录最大子列和,用thisSum记录当前处理的和,如果发现当前子列和未负,则舍弃。
class Solution {
public:
int maxSubArray(vector<int>& nums) {
int maxSum = -2147483648, thisSum = 0;
for(int i = 0; i < nums.size(); i++)
{
thisSum += nums[i];
if(thisSum > maxSum)
maxSum = thisSum;
if( thisSum < 0)
thisSum = 0;
}
return maxSum;
}
};
分析:
时间复杂度:O(N)
空间复杂度:O(1)
标签:tco follow lan 子列 时间 maximum 复杂 NPU exp
原文地址:https://www.cnblogs.com/qwfand/p/12627146.html