2530. Maximal Score After Applying K Operations
You are given a 0-indexed integer array nums and an integer k. You have a starting score of 0.
In one operation:
- choose an index
isuch that0 <= i < nums.length, - increase your score by
nums[i], and - replace
nums[i]withceil(nums[i] / 3).
Return the maximum possible score you can attain after applying exactly k operations.
The ceiling function ceil(val) is the least integer greater than or equal to val.
Example 1:
Input: nums = [10,10,10,10,10], k = 5 Output: 50 Explanation: Apply the operation to each array element exactly once. The final score is 10 + 10 + 10 + 10 + 10 = 50.
Example 2:
Input: nums = [1,10,3,3,3], k = 3 Output: 17 Explanation: You can do the following operations: Operation 1: Select i = 1, so nums becomes [1,4,3,3,3]. Your score increases by 10. Operation 2: Select i = 1, so nums becomes [1,2,3,3,3]. Your score increases by 4. Operation 3: Select i = 2, so nums becomes [1,1,1,3,3]. Your score increases by 3. The final score is 10 + 4 + 3 = 17.
Constraints:
1 <= nums.length, k <= 1051 <= nums[i] <= 109
C++
class Solution { public: long long maxKelements(vector<int>& nums, int k) { priority_queue<int> pq(nums.begin(), nums.end()); long long ans = 0; while (k--) { int v = pq.top(); pq.pop(); ans += v; pq.push((v + 2) / 3); } return ans; } };
PYTHON
import heapq class Solution: def maxKelements(self, nums, k): pq = [-num for num in nums] heapq.heapify(pq) ans = 0 while k > 0: v = -heapq.heappop(pq) ans += v heapq.heappush(pq, -(v + 2) // 3) k -= 1 return ans
JAVA
class Solution { public long maxKelements(int[] nums, int k) { PriorityQueue<Integer> pq = new PriorityQueue<>((a, b) -> b - a); for (int v : nums) { pq.offer(v); } long ans = 0; while (k-- > 0) { int v = pq.poll(); ans += v; pq.offer((v + 2) / 3); } return ans; } }
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