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 = [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.
滑动窗口的题目,我们可以借助双向队列deque来解决。一边维护窗口的大小,一边将每个窗口的中的最大元素放在队列的头部,这样每次取队列的第一个元素就可以了。代码如下:
public class Solution {
public int[] maxSlidingWindow(int[] nums, int k) {
if(nums == null || nums.length == 0) return new int[0];
int[] result = new int[nums.length - k + 1];
Deque<Integer> deque = new LinkedList<Integer>();
int index = 0;
for(int i = 0; i < nums.length; i++) {
//查看之前的最大元素是否在窗口中,如果不在就删除
if(!deque.isEmpty() && (deque.getFirst() == (i - k)))
deque.removeFirst();
//添加新的元素到队尾
while(!deque.isEmpty() && nums[deque.getLast()] <= nums[i])
deque.removeLast();
deque.addLast(i);
//将最大元素加入到结果中
if(i >= k - 1) result[index ++] = nums[deque.getFirst()];
}
return result;
}
}
如果不用队列也可以,思路是一样的,维护一个窗口,当窗口移动之后,检查之前窗口的最大元素是否在移动后的窗口中,如果在只需要比较最大元素与新近的元素就可以;如果不存在就在新窗口中找最大元素。代码如下:
public class Solution {
public int[] maxSlidingWindow(int[] nums, int k) {
if(nums == null || nums.length == 0) return new int[0];
int[] result = new int[nums.length - k + 1];
int maxIndex = 0;
int max = Integer.MIN_VALUE;
int index = 0;
for(int i = 0; i < result.length; i++) {
if(i == 0 || maxIndex == i - 1) {
max = Integer.MIN_VALUE;
for(int j = i; j < i + k; j++)
if(nums[j] > max) {
max = nums[j];
maxIndex = j;
}
}else {
if(nums[i + k - 1] > max) {
max = nums[i + k - 1];
maxIndex = i + k - 1;
}
}
result[index ++] = max;
}
return result;
}
}