题目 :Given an array of integers, return indices of the two numbers such that they add up to a specific target.

You may assume that each input would have exactly one solution.  (Easy)

解法1: Two pointers

拷贝一份,将数组排序,两根指针分别从前后向中间扫描,找到解为止。再遍历原数组寻找下标添加到结果内。

复杂度: O(nlogn)

注意:比如0,3,4,0  target = 0这组数据,需要让result第二个参数从后向前扫描才能保证答案正确。

代码:

 class Solution {
public:
vector<int> twoSum(vector<int>& nums, int target) {
vector<int> v(nums);
vector<int> result;
sort(nums.begin(), nums.end());
int i = ,j = nums.size() - ;
while (nums[i] + nums[j] != target) {
if (nums[i] + nums[j] > target) {
j--;
}
else {
i++;
}
}
for (int k = ; k < nums.size(); ++k) {
if (v[k] == nums[i]) {
result.push_back(k);
break;
}
}
for (int k = nums.size() - ; k >= ; --k) { //从后向前扫描
if (v[k] == nums[j]) {
result.push_back(k);
break;
}
}
return result;
}
};

解法2:

利用hash表建立数值与下标的一一对应,扫描一遍即得解。

注: 本以为是O(n),但运行时间比解法1居然慢,查看discuss得知没有注意find()方法在最差情况下执行效率是O(n)的。

代码:

 class Solution {
public:
vector<int> twoSum(vector<int>& nums, int target) {
//数值 与 下标一一对应
unordered_map<int,int> hash;
vector<int> result;
for (int i = ; i < nums.size(); ++i){
if (hash.find(target - nums[i]) != hash.end()) {
result.push_back(hash[target - nums[i]]);
result.push_back(i);
return result;
}
hash[nums[i]] = i;
}
return result;
}
};

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