Medium
You are given a 0-indexed integer array piles
, where piles[i]
represents the number of stones in the ith
pile, and an integer k
. You should apply the following operation exactly k
times:
piles[i]
and remove floor(piles[i] / 2)
stones from it.Notice that you can apply the operation on the same pile more than once.
Return the minimum possible total number of stones remaining after applying the k
operations.
floor(x)
is the greatest integer that is smaller than or equal to x
(i.e., rounds x
down).
Example 1:
Input: piles = [5,4,9], k = 2
Output: 12
Explanation: Steps of a possible scenario are:
Apply the operation on pile 2. The resulting piles are [5,4,5].
Apply the operation on pile 0. The resulting piles are [3,4,5].
The total number of stones in [3,4,5] is 12.
Example 2:
Input: piles = [4,3,6,7], k = 3
Output: 12
Explanation: Steps of a possible scenario are:
Apply the operation on pile 2. The resulting piles are [4,3,3,7].
Apply the operation on pile 3. The resulting piles are [4,3,3,4].
Apply the operation on pile 0. The resulting piles are [2,3,3,4].
The total number of stones in [2,3,3,4] is 12.
Constraints:
1 <= piles.length <= 105
1 <= piles[i] <= 104
1 <= k <= 105
import java.util.Collections;
import java.util.PriorityQueue;
public class Solution {
public int minStoneSum(int[] piles, int k) {
PriorityQueue<Integer> descendingQueue = new PriorityQueue<>(Collections.reverseOrder());
int sum = 0;
int newValue;
int currentValue;
int half;
for (int stones : piles) {
sum += stones;
descendingQueue.offer(stones);
}
while (k > 0) {
currentValue = descendingQueue.poll();
half = currentValue / 2;
newValue = currentValue - half;
descendingQueue.offer(newValue);
sum -= half;
k--;
}
return sum;
}
}