思路:
class Solution {
public:
int minSubArrayLen(int target, vector<int>& nums) {
int left = 0;
int length = INT_MAX;
int sum = 0;
for(int right = 0; right < nums.size(); ++right){
sum += nums[right];
while(sum >= target && left <= right){
length = min(length, right - left + 1);
sum -= nums[left];
left++;
}
}
return (length == INT_MAX) ? 0 : length;//正则表达式写法
}
};
//使用vector建立哈希表
class Solution {
public:
int maxProduct(vector<string>& words) {
vector<vector<bool>> hash(words.size(), vector<bool>(26, false));
for(int i = 0; i < words.size(); i++){
for(char s1: words[i]){
hash[i][s1 - 'a'] = true;
}
}
int length = 0;
for(int i = 0; i < words.size(); i++){
for(int j = i + 1; j < words.size(); j++){
int k = 0;
for(; k < 26; k++){
if(hash[i][k] == true && hash[j][k] == true){
break;
}
}
if(k == 26){
int rent = words[i].size() * words[j].size();
length = max(length, rent);
}
}
}
return length;
}
};
//暴力搜索法
class Solution {
public:
int maxProduct(vector<string>& words) {
int ret = 0;
for (int i = 0; i < words.size(); ++i) {
for (int j = i + 1; j < words.size(); ++j) {
bool same = true;
for (char ch1 : words[i]) {
for (char ch2 : words[j]) {
if (ch1 == ch2) {
same = false;
break;
}
}
if (!same) {
break;
}
}
if (same) {
int cur = words[i].size() * words[j].size();
ret = max(ret, cur);
}
}
}
return ret;
}
};