Sliding Window Maximum
题目地址:
https://leetcode.com/problems/sliding-window-maximum/#/description
题目:
解题思路:
这道题主要难度在于leaner time,所以需要用到辅助数据结构。在这里我们用到的是deque。双向队列用来存储valid的index。每次循环开始需要去除head的超出的index和tail的小于curr的index。
代码:
https://leetcode.com/problems/sliding-window-maximum/#/description
题目:
Given an array 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.
For example,
Given nums =
Given nums =
[1,3,-1,-3,5,3,6,7], and k = 3.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
Therefore, return the max sliding window as
[3,3,5,5,6,7].
Note:
You may assume k is always valid, ie: 1 ≤ k ≤ input array's size for non-empty array.
You may assume k is always valid, ie: 1 ≤ k ≤ input array's size for non-empty array.
Follow up:
Could you solve it in linear time?
Could you solve it in linear time?
解题思路:
这道题主要难度在于leaner time,所以需要用到辅助数据结构。在这里我们用到的是deque。双向队列用来存储valid的index。每次循环开始需要去除head的超出的index和tail的小于curr的index。
代码:
public int[] maxSlidingWindow(int[] nums, int k) { if(nums == null || nums.length < k){ return new int[0]; } int len = nums.length; int[] rst = new int[len - k + 1]; int p = 0; Deque<Integer> deque = new ArrayDeque<>(); for(int i = 0; i <= len - 1; i++){ if(!deque.isEmpty() && deque.peekFirst() <= i - k){ deque.pollFirst(); } while(!deque.isEmpty() && nums[deque.peekLast()] <= nums[i]){ deque.pollLast(); } deque.offerLast(i); if(i >= k - 1){ rst[p++] = nums[deque.peekFirst()]; } } return rst; }

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