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Home/ Questions/Q 263
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Anonymous
Asked: December 29, 20222022-12-29T17:31:15+00:00 2022-12-29T17:31:15+00:00In: Data Structures and Algorithms

How to Solve this coding interview problem in linear time complexity

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Given an integer array nums, return true if any value appears at least twice in the array, and return false if every element is distinct.

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

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

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  1. Programming Baba Begginer
    2022-12-30T20:13:45+00:00Added an answer on December 30, 2022 at 8:13 pm

    To solve this problem in linear time complexity (O(n)), you can use the following algorithm:

    1. Initialize an empty set called duplicates.
    2. Iterate through the array, and for each element x in the array: a. If x is in duplicates, return true. b. Otherwise, add x to duplicates.
    3. If the loop completes, return false.

    Here is some example code in Python that implements this algorithm:

    def containsDuplicate(nums):
    duplicates = set()
    for x in nums:
      if x in duplicates:
      return True
    duplicates.add(x)
    return False

    This algorithm has a time complexity of O(n), as it requires iterating through the array once and performing a constant number of operations for each element.

    I hope this helps! Let me know if you have any questions.

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