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Find the Integer Added to Array I

Easy
100%
Updated 6/1/2025

Asked by 2 Companies

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Find the Integer Added to Array I

1. What is this problem about?

The Find the Integer Added to Array I coding problem is an introductory-level array challenge. You are given two arrays of the same length, nums1 and nums2. nums2 was created by taking every element in nums1 and adding a specific integer xx to it. Your task is to find the value of xx. This is a test of basic arithmetic logic and array traversal.

2. Why is this asked in interviews?

Companies like Bloomberg use this Array interview question as a "warm-up" or "ice-breaker." It tests if a candidate can quickly identify the most efficient way to solve a simple problem. While you could sort both arrays and compare, the interviewer is looking for the O(N)O(N) solution that demonstrates an understanding of mathematical properties (like the sum of a series or minimum/maximum values).

3. Algorithmic pattern used

The simplest pattern is to find the difference between minimums. Since every element in nums1 was shifted by the same amount xx to create nums2, the relationship min(nums2) = min(nums1) + x must hold true. Therefore, x=min(nums2)min(nums1)x = min(nums2) - min(nums1). Alternatively, you can use the difference of the sums of the arrays, but min/max is usually more robust against overflow.

4. Example explanation

Input: nums1 = [4, 1, 8] nums2 = [11, 8, 15]

  1. Find the minimum of nums1: 1.
  2. Find the minimum of nums2: 8.
  3. Calculate the difference: 8 - 1 = 7. So, the integer added was 7. (Checking other elements: 4+7=11, 8+7=15. Correct!)

5. Common mistakes candidates make

  • Over-engineering: Sorting both arrays (O(NlogN)O(N \log N)) when a simple linear scan (O(N)O(N)) is sufficient.
  • Inefficient Logic: Trying to find the difference between every possible pair of elements from both arrays.
  • Sign Errors: Subtracting the minimum of nums2 from nums1 instead of the other way around, leading to the wrong sign for xx.

6. Interview preparation tip

Even for easy problems, always mention the time and space complexity. For this problem, stating that you can find the answer in O(N)O(N) time with O(1)O(1) extra space shows that you value efficiency even in simple tasks. It's a great way to build confidence at the start of an interview.

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