class Solution {
public:
int minSubArrayLen(int target, vector<int>& nums) {
int length=nums.size();
double sum=0;
int count=0;
int minV=INT32_MAX;
for(int i=0;i<length;i++){
sum=0;
for(int j=i;j<length;j++){
sum=sum+nums[j];
if(sum>=target){
count=j-i+1;
minV=minV<count?minV:count;
break;
}
}
}
return minV==INT32_MAX?0:minV;
}
};
暴力解法(超时)
class Solution {
public:
int minSubArrayLen(int target, vector<int>& nums) {
int length=nums.size();
double sum=0;
int count=0;
int minV=INT32_MAX;
int left=0;
for(int i=0;i<length;i++){
sum+=nums[i];
while(sum>=target){
count=i-left+1;
minV=min(count,minV);
sum=sum-nums[left];
left++;
}
}
return minV==INT32_MAX?0:minV;
}
};
滑动窗口法,类似于TCP传送时的滑动窗口,当满足小于要求是,右边界i++,当超出范围时,左边界left++用来收缩,并更新最小值。