We have a collection of rocks, each rock has a positive integer weight.
Each turn, we choose the two heaviest rocks and smash them together. Suppose the stones have weights x
and y
with x <= y
. The result of this smash is:
- If
x == y
, both stones are totally destroyed; - If
x != y
, the stone of weightx
is totally destroyed, and the stone of weighty
has new weighty-x
.
At the end, there is at most 1 stone left. Return the weight of this stone (or 0 if there are no stones left.)
Example 1:
Input: [2,7,4,1,8,1] Output: 1 Explanation: We combine 7 and 8 to get 1 so the array converts to [2,4,1,1,1] then, we combine 2 and 4 to get 2 so the array converts to [2,1,1,1] then, we combine 2 and 1 to get 1 so the array converts to [1,1,1] then, we combine 1 and 1 to get 0 so the array converts to [1] then that's the value of last stone.
Note:
1 <= stones.length <= 30
1 <= stones[i] <= 1000
模拟过程即可,time = O(nlogn), space = O(n)
naive solution:
class Solution { public int lastStoneWeight(int[] stones) { PriorityQueue<Integer> maxHeap = new PriorityQueue<>((a, b) -> b - a); for(int stone : stones) { maxHeap.offer(stone); } while(maxHeap.size() >= 2) { int x = maxHeap.poll(); int y = maxHeap.poll(); if(x != y) { maxHeap.offer(Math.abs(y - x)); } } return maxHeap.size() > 0 ? maxHeap.peek() : 0; } }
优化代码:
class Solution { public int lastStoneWeight(int[] stones) { PriorityQueue<Integer> maxHeap = new PriorityQueue<>((a, b) -> b - a); for(int stone : stones) { maxHeap.offer(stone); } while(maxHeap.size() >= 2) { maxHeap.offer(maxHeap.poll() - maxHeap.poll()); } return maxHeap.peek(); } }