Description

Given an array nums containing n distinct numbers in the range [0, n], return the only number in the range that is missing from the array.

Example 1:

Input: nums = [3,0,1] Output: 2 Explanation: n = 3 since there are 3 numbers, so all numbers are in the range [0,3]. 2 is the missing number in the range since it does not appear in nums.

Example 2:

Input: nums = [0,1] Output: 2 Explanation: n = 2 since there are 2 numbers, so all numbers are in the range [0,2]. 2 is the missing number in the range since it does not appear in nums.

Example 3:

Input: nums = [9,6,4,2,3,5,7,0,1] Output: 8 Explanation: n = 9 since there are 9 numbers, so all numbers are in the range [0,9]. 8 is the missing number in the range since it does not appear in nums.

Constraints:

  • n == nums.length
  • 1 <= n <= 104
  • 0 <= nums[i] <= n
  • All the numbers of nums are unique.

Follow up: Could you implement a solution using only O(1) extra space complexity and O(n) runtime complexity?

Code

Time Complexity: , Space Complexity:

在 missing number 之前出現的 number 都滿足:nums[i] = i,所以我們要找的就是第一個不滿足此條件之數字的 index。

class Solution {
public:
    int missingNumber(vector<int>& nums) {
        sort(nums.begin(), nums.end());
        int l = 0, r = nums.size();
        while(l < r) {
            int mid = (l + r) / 2;
            if(nums[mid] > mid) {
                r = mid;
            } else {
                l = mid + 1;
            }
        }
 
        return l;
    }
};

Bit Manipulation

Time Complexity: , Space Complexity:

KEY: a ^ a = 0

class Solution {
public:
    int missingNumber(vector<int>& nums) {
        int t = 0;
        for(int i = 0; i < nums.size(); i++) {
            t ^= nums[i];
            t ^= i;
        }
        return t ^= nums.size();
    }
};

Source