1. Two Sum
Problem
https://leetcode-cn.com/problems/two-sum/
Solutions
Enumerate
Go through nums[]
array and set i = len
, j = i + 1
. Then loop every possible cases by using 2 for loop.
class Solution { public int[] twoSum(int[] nums, int target) { int n = nums.length; for (int i = 0; i < n; i++) { for (int j = i + 1; j < n ; j++) { if (nums[i] + nums[j] == target) { return new int[]{i, j}; } } } return new int[]{}; } }
func twoSum(nums []int, target int) []int { n := len(nums) for i := 0; i < n; i++ { for j := i + 1; j < n; j++ { if nums[i] + nums[j] == target { return []int{i,j} } } } return []int{}; }
Time complexity: O(N^2). N is the length of num array. If possible, loop every elements in the arrray.
Space Complexity: O(1).
Hashtable
In order to get indices i and j, we need target = nums[i] + nums[j], which is the same as target - nums[i] = nums[j].
So, if current nums[i] matches to target - nums[i], we find the indexes (hashtale(target-nums[i]), i). It basicly using
a hashtable to represent the other value(i or j) from the enumerate version.
class Solution { public int[] twoSum(int[] nums, int target) { // key = elements in nums, value = index Map<Integer, Integer> hashMap = new HashMap<>(nums.length); for (int i = 0; i < nums.length; i++) { if (hashMap.containsKey(target - nums[i])) { return new int[]{hashMap.get(target - nums[i]), i}; } hashMap.put(nums[i], i); } return new int[]{}; } }
func twoSum(nums []int, target int) []int { hashmap := make(map[int]int) for i := 0; i < len(nums); i++ { if v, ok := hashmap[target - nums[i]]; ok { return []int{v, i} } hashmap[nums[i]] = i } return nil }
Time complexity: O(N). N is the length of num array. If possible, loop every elements in the arrray ONCE.
Space Complexity: O(N), we saved elements dynamically in a hashtable.
Reference
https://leetcode-cn.com/problems/two-sum/solution/liang-shu-zhi-he-by-leetcode-solution/