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find-all-duplicates-in-an-array

Problem Description​

Given an integer array nums of length n where all the integers of nums are in the range [1, n] and each integer appears once or twice, return an array of all the integers that appears twice.

You must write an algorithm that runs in O(n)O(n) time and uses only constant extra space.

Examples​

Example 1:


Input: nums = [4,3,2,7,8,2,3,1]
Output: [2,3]

Example 2:

Input: nums = [1,1,2]
Output: [1]

Example 3:

Input: nums = [1]
Output: []

Constraints​

  • 1≀nums.length≀1051 \leq \text{nums.length} \leq 105
  • Each element in nums appears once or twice.

Solution for Find All Duplicates in an Array​

Intuition​

  • Since each element in the array represents a valid index (1 to n), we can leverage this information.
  • We might be able to sort the array and then compare adjacent elements to find duplicates efficiently.

Approach​

  • Utilize existing order: We know that each element should appear at most twice and all values are in the range [1, n]. This suggests some inherent order in the array.
  • Leverage sorting: By sorting the array, we can group duplicate elements together, making them easier to identify.
  • Iterate and compare: After sorting, iterating through the array, we can compare adjacent elements. If two consecutive elements are identical, that element is a duplicate.

Code in Different Languages​

Written by @parikhitkurmi
//python

class Solution:
def findDuplicates(self, nums: List[int]) -> List[int]:
ans =[]
n=len(nums)
for x in nums:
x = abs(x)
if nums[x-1]<0:
ans.append(x)
nums[x-1] *= -1
return ans

References​