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, and you may not use the same element twice.
Example:
Given nums = [2, 7, 11, 15], target = 9,
Because nums[0] + nums[1] = 2 + 7 = 9,
return [0, 1].
brute force
class Solution {
public:
vector<int> twoSum(vector<int>& nums, int target) {
int i,j;
vector<int> res;
for(i=0;i<nums.size();i++)
for(j=i+1;j<nums.size();j++)
if(nums[i] + nums[j] == target)
{
res.push_back(i);
res.push_back(j);
break;
}
return res;
}
};
We reduce the look up time from O(n) to O(1) by trading space for speed. A hash table is built exactly for this purpose, it supports fast look up in near constant time.
hash table
class Solution {
public:
vector<int> twoSum(vector<int>& nums, int target) {
int i,j;
vector<int> res;
map<int,int> notme;
for(i=0;i<nums.size();i++)
notme[nums[i]]=i;
for(i=0;i<nums.size();i++)
{
j=target - nums[i];
if(notme.count(j)&&j!=i)
{
res.push_back(i);
res.push_back(j);
break;
}
}
return res;
}
};
或者可以把两个for循环写一起 代码简洁性增强 时间复杂度不变
class Solution {
public:
vector<int> twoSum(vector<int>& nums, int target) {
int i,j;
vector<int> res;
map<int,int> notme;
for(i=0;i<nums.size();i++)
{
notme[nums[i]]=i;
j = target - nums[i];
if(notme.count(j)&¬me[j]!=i)
{
res.push_back(notme[j]);
res.push_back(i);
break;
}
}
return res;
}
};
备注:哈希每次查找的时间复杂度是O(1)