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
Binary Search
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();
}
};