|
| 1 | +--- |
| 2 | +id: n-repeated-element-in-size-2n-array |
| 3 | +title: N-Repeated Element in Size 2N Array |
| 4 | +sidebar_label: 961-N-Repeated-Element-in-Size-2N-Array |
| 5 | +tags: |
| 6 | +- Array |
| 7 | +- Hash Table |
| 8 | +- Counting |
| 9 | +description: "Given an array of size 2N, find the element that is repeated N times." |
| 10 | +--- |
| 11 | + |
| 12 | +## Problem |
| 13 | + |
| 14 | +You are given an integer array `nums` with a length of `2n`, where `n` is an integer greater than 1. The array contains `n + 1` unique elements, and exactly one of these elements is repeated `n` times. |
| 15 | + |
| 16 | +Return the element that is repeated `n` times. |
| 17 | + |
| 18 | +### Examples |
| 19 | + |
| 20 | +**Example 1:** |
| 21 | + |
| 22 | +**Input:** `nums = [1,2,3,3]` |
| 23 | +**Output:** `3` |
| 24 | + |
| 25 | +**Example 2:** |
| 26 | + |
| 27 | +**Input:** `nums = [2,1,2,5,3,2]` |
| 28 | +**Output:** `2` |
| 29 | + |
| 30 | +**Example 3:** |
| 31 | + |
| 32 | +**Input:** `nums = [5,1,5,2,5,3,5,4]` |
| 33 | +**Output:** `5` |
| 34 | + |
| 35 | +### Constraints |
| 36 | + |
| 37 | +- `2 <= n <= 5000` |
| 38 | +- `nums.length == 2 * n` |
| 39 | +- `0 <= nums[i] <= 10^4` |
| 40 | +- `nums` contains `n + 1` unique elements and one of them is repeated exactly `n` times. |
| 41 | + |
| 42 | +--- |
| 43 | + |
| 44 | +## Approach |
| 45 | + |
| 46 | +To solve this problem, we can use a hash table (dictionary) to count the occurrences of each element. The element that appears `n` times is the one we need to return. |
| 47 | + |
| 48 | +### Steps: |
| 49 | + |
| 50 | +1. Initialize an empty dictionary to count the frequency of each element. |
| 51 | +2. Iterate through the array and update the count of each element in the dictionary. |
| 52 | +3. Check if the count of any element reaches `n` and return that element. |
| 53 | + |
| 54 | +### Solution |
| 55 | + |
| 56 | +#### Java |
| 57 | + |
| 58 | +```java |
| 59 | +class Solution { |
| 60 | + public int repeatedNTimes(int[] nums) { |
| 61 | + Map<Integer, Integer> countMap = new HashMap<>(); |
| 62 | + for (int num : nums) { |
| 63 | + countMap.put(num, countMap.getOrDefault(num, 0) + 1); |
| 64 | + if (countMap.get(num) == nums.length / 2) { |
| 65 | + return num; |
| 66 | + } |
| 67 | + } |
| 68 | + return -1; // Should never reach here |
| 69 | + } |
| 70 | +} |
| 71 | +``` |
| 72 | + |
| 73 | +#### C++ |
| 74 | + |
| 75 | +```cpp |
| 76 | +class Solution { |
| 77 | +public: |
| 78 | + int repeatedNTimes(vector<int>& nums) { |
| 79 | + unordered_map<int, int> countMap; |
| 80 | + int n = nums.size() / 2; |
| 81 | + for (int num : nums) { |
| 82 | + countMap[num]++; |
| 83 | + if (countMap[num] == n) { |
| 84 | + return num; |
| 85 | + } |
| 86 | + } |
| 87 | + return -1; // Should never reach here |
| 88 | + } |
| 89 | +}; |
| 90 | +``` |
| 91 | +
|
| 92 | +#### Python |
| 93 | +
|
| 94 | +```python |
| 95 | +class Solution: |
| 96 | + def repeatedNTimes(self, nums: List[int]) -> int: |
| 97 | + count = {} |
| 98 | + n = len(nums) // 2 |
| 99 | + for num in nums: |
| 100 | + count[num] = count.get(num, 0) + 1 |
| 101 | + if count[num] == n: |
| 102 | + return num |
| 103 | + return -1 # Should never reach here |
| 104 | +``` |
| 105 | + |
| 106 | +### Complexity Analysis |
| 107 | + |
| 108 | +**Time Complexity:** O(n) |
| 109 | +>Reason: We iterate through the array once, and the operations we perform (insertion and lookup in a dictionary) are O(1) on average. |
| 110 | + |
| 111 | +**Space Complexity:** O(n) |
| 112 | +>Reason: We use a dictionary to store the frequency of each element, which in the worst case can contain `n + 1` unique elements. |
| 113 | +
|
| 114 | +### References |
| 115 | + |
| 116 | +**LeetCode Problem:** [N-Repeated Element in Size 2N Array](https://leetcode.com/problems/n-repeated-element-in-size-2n-array/) |
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