LeetCode 2934: Minimum Operations to Maximize Last Elements in Arrays Solution
Master LeetCode problem 2934 (Minimum Operations to Maximize Last Elements in Arrays), a medium challenge, with our optimized solutions in Java, C++, and Python. Explore detailed explanations, test your code in our interactive editor, and prepare for coding interviews.
2934. Minimum Operations to Maximize Last Elements in Arrays
Problem Explanation
Explanation
To solve this problem, we need to find the minimum number of operations required to make the last element in both arrays equal to the maximum element in each array. We can achieve this by iterating through the arrays and checking if the current maximum elements are already at the last position. If not, we can try to swap elements to move the maximum elements to the last position.
Here is the algorithm:
- Initialize two variables
max1andmax2to store the maximum elements innums1andnums2, respectively. - Iterate through both arrays:
- If the current element is greater than
max1, updatemax1and store the index. - If the current element is greater than
max2, updatemax2and store the index.
- If the current element is greater than
- If
max1andmax2are already at the last position, return 0 (no operations needed). - If one of
max1ormax2is at the last position, swap the elements at the stored index to move the maximum element to the last position. - If both
max1andmax2are not at the last position, check if swapping the elements at the stored indices will result in both conditions being satisfied. - Return the minimum number of operations needed or -1 if it is impossible to satisfy both conditions.
The time complexity of this algorithm is O(n) where n is the length of the arrays, as we only iterate through the arrays once. The space complexity is O(1) as we use only a constant amount of extra space.
Solution Code
class Solution {
public int minOperations(int[] nums1, int[] nums2) {
int n = nums1.length;
int max1 = nums1[0], max2 = nums2[0];
int idx1 = 0, idx2 = 0;
for (int i = 0; i < n; i++) {
if (nums1[i] > max1) {
max1 = nums1[i];
idx1 = i;
}
if (nums2[i] > max2) {
max2 = nums2[i];
idx2 = i;
}
}
if (max1 == nums1[n - 1] && max2 == nums2[n - 1]) {
return 0;
}
if (idx1 != n - 1) {
nums1[idx1] = nums1[idx1] + nums2[idx1];
nums2[idx1] = nums1[idx1] - nums2[idx1];
nums1[idx1] = nums1[idx1] - nums2[idx1];
}
if (idx2 != n - 1) {
nums1[idx2] = nums1[idx2] + nums2[idx2];
nums2[idx2] = nums1[idx2] - nums2[idx2];
nums1[idx2] = nums1[idx2] - nums2[idx2];
}
if (nums1[n - 1] == max1 && nums2[n - 1] == max2) {
return idx1 == idx2 ? 1 : 2;
}
return -1;
}
}Try It Yourself
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