lc-239


import java.util.Comparator;
import java.util.PriorityQueue;

/**
You are given an array of integers nums, there is a sliding window of size k 
which is moving from the very left of the array to the very right. You can only 
see the k numbers in the window. Each time the sliding window moves right by one 
position. 

 Return the max sliding window. 

 
 Example 1: 

 
Input: nums = [1,3,-1,-3,5,3,6,7], k = 3
Output: [3,3,5,5,6,7]
Explanation: 
Window position                Max
---------------               -----
[1  3  -1] -3  5  3  6  7       3
 1 [3  -1  -3] 5  3  6  7       3
 1  3 [-1  -3  5] 3  6  7       5
 1  3  -1 [-3  5  3] 6  7       5
 1  3  -1  -3 [5  3  6] 7       6
 1  3  -1  -3  5 [3  6  7]      7
 

 Example 2: 

 
Input: nums = [1], k = 1
Output: [1]
 

 
 Constraints: 

 
 1 <= nums.length <= 10⁵ 
 -10⁴ <= nums[i] <= 10⁴ 
 1 <= k <= nums.length 
 
 Related Topics队列 | 数组 | 滑动窗口 | 单调队列 | 堆(优先队列) 

 👍 1888, 👎 0 

*/	
//leetcode submit region begin(Prohibit modification and deletion)
class Solution {
    public int[] maxSlidingWindow(int[] nums, int k) {
        int n = nums.length;
        PriorityQueue<int[]> pq = new PriorityQueue<int[]>(new Comparator<int[]>() {
            public int compare(int[] pair1, int[] pair2) {
                return pair1[0] != pair2[0] ? pair2[0] - pair1[0] : pair2[1] - pair1[1];
            }
        });
        for (int i = 0; i < k; ++i) {
            pq.offer(new int[]{nums[i], i});
        }
        int[] ans = new int[n - k + 1];
        ans[0] = pq.peek()[0];
        for (int i = k; i < n; ++i) {
            pq.offer(new int[]{nums[i], i});
            while (pq.peek()[1] <= i - k) {
                pq.poll();
            }
            ans[i - k + 1] = pq.peek()[0];
        }
        return ans;
    }
}
//leetcode submit region end(Prohibit modification and deletion)

文章作者: 倪春恩
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