Description Link to heading
41. First Missing Positive (Hard)
Given an unsorted integer array nums
, return the smallest missing positive integer.
You must implement an algorithm that runs in O(n)
time and uses constant extra space.
Example 1:
Input: nums = [1,2,0]
Output: 3
Explanation: The numbers in the range [1,2] are all in the array.
Example 2:
Input: nums = [3,4,-1,1]
Output: 2
Explanation: 1 is in the array but 2 is missing.
Example 3:
Input: nums = [7,8,9,11,12]
Output: 1
Explanation: The smallest positive integer 1 is missing.
Constraints:
1 <= nums.length <= 10⁵
-2³¹ <= nums[i] <= 2³¹ - 1
Solution Link to heading
We can mark nums[i]
,we set the negative elements in nums
as n + 1
, and num = abs(nums[i])
, ans set nums[num - 1] = -nums[num - 1]
.
Or we can swap.
Code Link to heading
class Solution {
public:
int firstMissingPositive(vector<int>& nums) {
int n = nums.size();
for (int& num: nums) {
if (num <= 0) {
num = n + 1;
}
}
for (int i = 0; i < n; ++i) {
int num = abs(nums[i]);
if (num <= n) {
nums[num - 1] = -abs(nums[num - 1]);
}
}
for (int i = 0; i < n; ++i) {
if (nums[i] > 0) {
return i + 1;
}
}
return n + 1;
}
};
// @lc code=end