Given an array of integers, return indices of the two numbers such that they add up to a specific target.數據結構
You may assume that each input would have exactly one solution, and you may not use the same element twice.app
Example:this
Given nums = [2, 7, 11, 15], target = 9, Because nums[0] + nums[1] = 2 + 7 = 9, return [0, 1].
Boring brushing leetcode.
Found that the subject is a company interview topic.spa
This problem mainly use unordered_map .code
unordered_map allow two or more apper in data.but is not ordered.blog
this is my solutation:內存
class Solution { public: vector<int> twoSum(vector<int>& nums, int target) { unordered_map<int, int> mp; vector<int> v; for (int i = 0; i < nums.size(); ++i ){ int x = target - nums[i]; if (mp.count(x) > 0) { v.push_back((mp.find(x))->second); v.push_back(i); break; } mp.insert({nums[i],i}); } return v; } };
o(n)ci
STL中,map對應的數據結構是紅黑樹。紅黑樹是一種近似於平衡的二叉查找樹,裏面的數據是有序的。在紅黑樹上作查找操做的時間複雜度爲 O(logN)。而unordered_map對應 哈希表,哈希表的特色就是查找效率高,時間複雜度爲常數級別 O(1), 而額外空間複雜度則要高出許多。因此對於須要高效率查詢的狀況,使用unordered_map容器。而若是對內存大小比較敏感或者數據存儲要求有序的話,則能夠用map容器。 element