Minimum Sum of Squared Difference - Practice Coding | SlaveCode
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2333. Minimum Sum of Squared Difference
Medium
30 Points
Array
Binary Search
Greedy
Sorting
Heap (Priority Queue)
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.
Examples
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
2333. Minimum Sum of Squared Difference
Medium
30 Points
Array
Binary Search
Greedy
Sorting
Heap (Priority Queue)
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.
Examples
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.