First Missing Positive
Given an unsorted integer array, return the smallest missing positive integer. You must solve it in O(n) time and O(1) space.
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Problem
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 O(1) auxiliary space.
Input
An integer array `nums` (may contain negatives and duplicates).
Output
The smallest positive integer not present in the array.
Examples
Input: nums = [1,2,0]
Output: 3
Input: nums = [3,4,-1,1]
Output: 2
Input: nums = [7,8,9,11,12]
Output: 1
The brute-force approach
Use a hash set. Add all positive numbers to the set. Then check 1, 2, 3, ... until you find one not in the set.
seen = set(n for n in nums if n > 0)
i = 1
while i in seen:
i += 1
return iO(n) time and O(n) space for the hash set. The constraint requires O(1) space.
Spotting the pattern
This is a Cyclic Sort problem. The key question to ask yourself:
If you could place each number 1..n at its "correct" index (1 at index 0, 2 at index 1, ...), how would you find the first missing positive?
Answering that is where it clicks, and it's exactly what the guided walkthrough below builds with you: the pattern reasoning, a progressive hint ladder that never spoils the answer, a row-by-row dry run, the optimized solution, and an in-browser editor to run your code against real test cases.
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