LeetCode 2333. Minimum Sum of Squared Difference Solution in Java, C++, Python & Go | Explanation + Code

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2333. Minimum Sum of Squared Difference

Description

You are given two positive 0-indexed integer arrays nums1 and nums2, both of length n.

The sum of squared difference of arrays nums1 and nums2 is defined as the sum of (nums1[i] - nums2[i])2 for each 0 <= i < n.

You are also given two positive integers k1 and k2. You can modify any of the elements of nums1 by +1 or -1 at most k1 times. Similarly, you can modify any of the elements of nums2 by +1 or -1 at most k2 times.

Return the minimum sum of squared difference after modifying array nums1 at most k1 times and modifying array nums2 at most k2 times.

Note: You are allowed to modify the array elements to become negative integers.

 

Example 1:

Input: nums1 = [1,2,3,4], nums2 = [2,10,20,19], k1 = 0, k2 = 0
Output: 579
Explanation: The elements in nums1 and nums2 cannot be modified because k1 = 0 and k2 = 0. 
The sum of square difference will be: (1 - 2)2 + (2 - 10)2 + (3 - 20)2 + (4 - 19)2 = 579.

Example 2:

Input: nums1 = [1,4,10,12], nums2 = [5,8,6,9], k1 = 1, k2 = 1
Output: 43
Explanation: One way to obtain the minimum sum of square difference is: 
- Increase nums1[0] once.
- Increase nums2[2] once.
The minimum of the sum of square difference will be: 
(2 - 5)2 + (4 - 8)2 + (10 - 7)2 + (12 - 9)2 = 43.
Note that, there are other ways to obtain the minimum of the sum of square difference, but there is no way to obtain a sum smaller than 43.

 

Constraints:

  • n == nums1.length == nums2.length
  • 1 <= n <= 105
  • 0 <= nums1[i], nums2[i] <= 105
  • 0 <= k1, k2 <= 109

Solutions

Solution 1

PythonJavaC++Go
class Solution: def minSumSquareDiff( self, nums1: List[int], nums2: List[int], k1: int, k2: int ) -> int: d = [abs(a - b) for a, b in zip(nums1, nums2)] k = k1 + k2 if sum(d) <= k: return 0 left, right = 0, max(d) while left < right: mid = (left + right) >> 1 if sum(max(v - mid, 0) for v in d) <= k: right = mid else: left = mid + 1 for i, v in enumerate(d): d[i] = min(left, v) k -= max(0, v - left) for i, v in enumerate(d): if k == 0: break if v == left: k -= 1 d[i] -= 1 return sum(v * v for v in d)(code-box)

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