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Java-based LeetCode algorithm problem solutions, regularly updated
package g2301_2400.s2333_minimum_sum_of_squared_difference;
// #Medium #Array #Math #Sorting #Heap_Priority_Queue
// #2022_07_12_Time_15_ms_(95.13%)_Space_106.4_MB_(46.91%)
/**
* 2333 - Minimum Sum of Squared Difference\.
*
* Medium
*
* 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
**/
public class Solution {
public long minSumSquareDiff(int[] nums1, int[] nums2, int k1, int k2) {
long minSumSquare = 0;
int[] diffs = new int[100_001];
long totalDiff = 0;
long kSum = (long) k1 + k2;
int currentDiff;
int maxDiff = 0;
for (int i = 0; i < nums1.length; i++) {
// get current diff.
currentDiff = Math.abs(nums1[i] - nums2[i]);
// if current diff > 0, count/store it. If not,then ignore it.
if (currentDiff > 0) {
totalDiff += currentDiff;
diffs[currentDiff]++;
maxDiff = Math.max(maxDiff, currentDiff);
}
}
// if kSum (k1 + k2) < totalDifferences, it means we can make all numbers/differences 0s
if (totalDiff <= kSum) {
return 0;
}
// starting from the back, from the highest difference, lower that group one by one to the
// previous group.
// we need to make all n diffs to n-1, then n-2, as long as kSum allows it.
for (int i = maxDiff; i > 0 && kSum > 0; i--) {
if (diffs[i] > 0) {
// if current group has more differences than the totalK, we can only move k of them
// to the lower level.
if (diffs[i] >= kSum) {
diffs[i] -= kSum;
diffs[i - 1] += kSum;
kSum = 0;
} else {
// else, we can make this whole group one level lower.
diffs[i - 1] += diffs[i];
kSum -= diffs[i];
diffs[i] = 0;
}
}
}
for (int i = 0; i <= maxDiff; i++) {
if (diffs[i] > 0) {
minSumSquare += (long) (Math.pow(i, 2)) * diffs[i];
}
}
return minSumSquare;
}
}
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