219. Contains Duplicate II 🔍

Difficulty: Easy - Tags: Array, Hash Table, Sliding Window

LeetCode Problem Link


Problem Statement 📜

Given an integer array nums and an integer k, return true if there are two distinct indices i and j in the array such that:

  • nums[i] == nums[j]

  • abs(i - j) <= k

Return false otherwise.


Examples 🌟

🔹 Example 1:

Input:

nums = [1,2,3,1], k = 3

Output:

true

🔹 Example 2:

Input:

nums = [1,0,1,1], k = 1

Output:

true

🔹 Example 3:

Input:

nums = [1,2,3,1,2,3], k = 2

Output:

false

Constraints ⚙️

  • 1 <= nums.length <= 10^5

  • -10^9 <= nums[i] <= 10^9

  • 0 <= k <= 10^5


Solution 💡

To solve this problem efficiently, a HashMap can be used to store the last index of each number as we iterate through the array. This allows us to quickly check if the difference between the current index and the stored index is less than or equal to k.


Java Solution (Using HashMap)

import java.util.HashMap;

class Solution {
    public boolean containsNearbyDuplicate(int[] nums, int k) {
        HashMap<Integer, Integer> map = new HashMap<>();

        for (int i = 0; i < nums.length; i++) {
            if (map.containsKey(nums[i])) {
                if (i - map.get(nums[i]) <= k) {
                    return true;
                }
            }
            map.put(nums[i], i);
        }

        return false;
    }
}

Explanation of the Solution

  1. HashMap for Index Tracking:

    • Use a HashMap to store the last index where each number appears.

    • Check if the current number exists in the map, and if the index difference is less than or equal to k.

  2. Update the Map:

    • Regardless of the result, update the map with the current index of the number.

  3. Early Exit:

    • If a valid pair is found, return true.

    • Otherwise, continue iterating.


Time Complexity ⏳

  • O(n): Each element is processed once.

Space Complexity 💾

  • O(min(n, k)): The size of the HashMap is limited by k and the number of unique elements in nums.

You can find the full solution here.

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