Problem Description
Given two integer arrays nums1 and nums2, nums1 originally contained two extra elements compared to nums2. After removing two elements from nums1, every remaining element is incremented (or decremented) by an integer x so that the resulting array (as a multiset) becomes equal to nums2. The task is to determine the minimum possible integer x that achieves this equivalence.
Key Insights
- Removing two elements from nums1 leaves a multiset of size equal to nums2.
- The transformation is uniform; every element in the remaining nums1 is adjusted by the same integer x.
- We can utilize the total sum of both arrays. For any removal pair, if S1 is the sum of nums1 and S2 is the sum of nums2, then after removal the sum of the remaining elements is S1 - (removed1 + removed2) and adding x to each of these (n1 - 2) elements gives S2. This yields x = (S2 - (S1 - removed_sum)) / (n1 - 2).
- Even if x comes out as an integer from the sum formula, we must verify that applying this shift to the remaining numbers exactly reproduces the frequency distribution of nums2.
- With n1 up to 200, we can safely enumerate all O(n1²) pairs for removal.
Space and Time Complexity
Time Complexity: O(n1² * n1) ≈ O(n1³) in the worst-case due to enumerating removal pairs and checking the frequency match for each candidate. Space Complexity: O(n1 + n2) for storing frequency dictionaries (or counters) and temporary arrays.
Solution
We iterate over every possible pair of indices in nums1 representing the two removed elements. For each pair:
- Compute the sum of the remaining elements of nums1.
- Deduce the candidate x using the relation: x = (S2 - remaining_sum) / (n1 - 2). If it is not an integer, move on.
- Apply x to each element of the remaining array, and form its frequency dictionary.
- Compare this frequency dictionary with that of nums2. If they match, update the answer.
- Finally, return the minimum valid x found.
The approach uses enumeration of candidate pairs with helper data structures, such as hash maps (or Counters), to manage frequency counts.