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.
找最大,最小值就要考虑 DP
class Solution {
public:
int maxSubArray(vector<int>& nums) {
if( nums.empty()) return 0;
int localMax = nums[0], globalMax = nums[0];
for( int i = 1; i < nums.size(); i++) {
localMax = max(localMax + nums[i], nums[i]);
globalMax = max(globalMax, localMax);
}
return globalMax;
}
};
本文介绍了一种寻找具有最大和的连续子数组的算法。通过动态规划方法解决此问题,并给出了具体的实现代码示例。
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