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← Interview Coding Patterns

Core Patterns

  • Fast & Slow Pointers
  • Merge Intervals
  • Cyclic Sort

Heap & Priority Queue Patterns

  • Top-K Elements
  • K-Way Merge
  • Two Heaps
  • Practice problems

    Top K Frequent Elements
  • Find Median from Data Stream
  • Kth Largest Element in an Array
  • Merge K Sorted Lists
  • Top K Frequent Words

Linked List Patterns

  • Practice problems

    Reverse Linked List
  • Linked List Cycle
  • Merge Two Sorted Lists
  • Reverse Linked List II
  • Linked List Cycle II
  • Remove Nth Node From End of List

Stack & Queue Patterns

  • Practice problems

    Valid Parentheses
  • Min Stack
  • LRU Cache
  • Daily Temperatures
  • Next Greater Element I

Recursion & Backtracking Patterns

  • Practice problems

    Subsets
  • Permutations
  • N-Queens
  • Combination Sum

Greedy Patterns

  • Practice problems

    Jump Game
  • Gas Station

Binary Search Patterns

  • Practice problems

    Binary Search
  • Search in Rotated Sorted Array
  • Find Minimum in Rotated Sorted Array

Bit Manipulation Patterns

  • Practice problems

    Single Number
  • Counting Bits
  • Number of 1 Bits

Sorting Patterns

  • Practice problems

    Merge Intervals
  • Meeting Rooms II
  • Find the Duplicate Number
  • First Missing Positive
Chaturmind
← Interview Coding Patterns

Core Patterns

  • Fast & Slow Pointers
  • Merge Intervals
  • Cyclic Sort

Heap & Priority Queue Patterns

  • Top-K Elements
  • K-Way Merge
  • Two Heaps
  • Practice problems

    Top K Frequent Elements
  • Find Median from Data Stream
  • Kth Largest Element in an Array
  • Merge K Sorted Lists
  • Top K Frequent Words

Linked List Patterns

  • Practice problems

    Reverse Linked List
  • Linked List Cycle
  • Merge Two Sorted Lists
  • Reverse Linked List II
  • Linked List Cycle II
  • Remove Nth Node From End of List

Stack & Queue Patterns

  • Practice problems

    Valid Parentheses
  • Min Stack
  • LRU Cache
  • Daily Temperatures
  • Next Greater Element I

Recursion & Backtracking Patterns

  • Practice problems

    Subsets
  • Permutations
  • N-Queens
  • Combination Sum

Greedy Patterns

  • Practice problems

    Jump Game
  • Gas Station

Binary Search Patterns

  • Practice problems

    Binary Search
  • Search in Rotated Sorted Array
  • Find Minimum in Rotated Sorted Array

Bit Manipulation Patterns

  • Practice problems

    Single Number
  • Counting Bits
  • Number of 1 Bits

Sorting Patterns

  • Practice problems

    Merge Intervals
  • Meeting Rooms II
  • Find the Duplicate Number
  • First Missing Positive
HomeLearnInterview Coding PatternsSorting Patterns
HardSorting & Searching

First Missing Positive

cyclic-sortarray

Problem

Given an unsorted integer array nums, return the smallest missing positive integer. Your algorithm must run in O(n) time and use O(1) extra space.

Examples

Example 1

Input: nums = [1,2,0]

Output: 3

Explanation: 1 and 2 are present, 3 is the smallest missing positive.

Example 2

Input: nums = [3,4,-1,1]

Output: 2

Explanation: 1 is present, 2 is missing.

Constraints

  • •1 <= nums.length <= 10^5
  • •-2^31 <= nums[i] <= 2^31 - 1

Hints

Hint 1

A hash set of all positive values, then checking 1, 2, 3, ... in order until one is missing, is correct in O(n) time — but again costs O(n) space, disallowed here.

Hint 2

The answer is guaranteed to be in [1, n+1] — so only values in that narrow range are ever relevant, everything else (negatives, zero, values > n) can be ignored.

Hint 3

Cyclic sort: repeatedly swap each in-range value to its 'correct' index (value v belongs at index v-1) — afterward, the first index that doesn't hold its expected value reveals the answer.

Solutions

public int firstMissingPositiveHashSet(int[] nums) {
    Set<Integer> present = new HashSet<>();
    for (int n : nums) present.add(n);
    int i = 1;
    while (present.contains(i)) i++;
    return i;
}

Time: O(n) · Space: O(n) — violates the problem's O(1) space requirement

Previous · Practice problem

Find the Duplicate Number