LeetCode 1. Two Sum
Problem: 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.
Example:
Given nums = [2, 7, 11, 15], target = 9, Because nums[0] + nums[1] = 2 + 7 = 9, return [0, 1].
该题最容易想到的暴力解法就是两层循环,逐对相加与target比较。其代价过大,代码为:
1 class Solution { 2 public: 3 vector<int> twoSum(vector<int>& nums, int target) { 4 vector<int> result; 5 unordered_map<int,int> hash; 6 for(int i = 0; i < nums.size(); i++) 7 { 8 int num_to_find = target - nums[i]; 9 if(hash.find(num_to_find) != hash.end()) 10 { 11 result.push_back(hash[num_to_find]); 12 result.push_back(i); 13 return result; 14 } 15 else 16 { 17 hash[nums[i]] = i; 18 } 19 } 20 return result; 21 } 22 };
时间复杂度为O(n)的做法是只遍历一次vector,然后用hash表的find快速查找存储的数字。其代码如下:
1 class Solution { 2 public: 3 vector<int> twoSum(vector<int>& nums, int target) { 4 vector<int> result; 5 unordered_map<int,int> hash; 6 for(int i = 0; i < nums.size(); i++) 7 { 8 int num_to_find = target - nums[i]; 9 if(hash.find(num_to_find) != hash.end()) 10 { 11 result.push_back(hash[num_to_find]); 12 result.push_back(i); 13 return result; 14 } 15 else 16 { 17 hash[nums[i]] = i; 18 } 19 } 20 return result; 21 } 22 };
已遇到多题巧用hash table(unordered_map)简化算法的方法,注意hash table的使用!