g0201_0300.s0239_sliding_window_maximum.Solution Maven / Gradle / Ivy
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Java-based LeetCode algorithm problem solutions, regularly updated
package g0201_0300.s0239_sliding_window_maximum;
// #Hard #Top_100_Liked_Questions #Top_Interview_Questions #Array #Heap_Priority_Queue
// #Sliding_Window #Queue #Monotonic_Queue #Udemy_Arrays #Big_O_Time_O(n*k)_Space_O(n+k)
// #2022_07_04_Time_58_ms_(52.28%)_Space_145_MB_(50.60%)
import java.util.LinkedList;
/**
* 239 - Sliding Window Maximum\.
*
* Hard
*
* 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]
*
* **Example 3:**
*
* **Input:** nums = [1,-1], k = 1
*
* **Output:** [1,-1]
*
* **Example 4:**
*
* **Input:** nums = [9,11], k = 2
*
* **Output:** [11]
*
* **Example 5:**
*
* **Input:** nums = [4,-2], k = 2
*
* **Output:** [4]
*
* **Constraints:**
*
* * 1 <= nums.length <= 105
* * -104 <= nums[i] <= 104
* * `1 <= k <= nums.length`
**/
public class Solution {
public int[] maxSlidingWindow(int[] nums, int k) {
int n = nums.length;
int[] res = new int[n - k + 1];
int x = 0;
LinkedList dq = new LinkedList<>();
int i = 0;
int j = 0;
while (j < nums.length) {
while (!dq.isEmpty() && dq.peekLast() < nums[j]) {
dq.pollLast();
}
dq.addLast(nums[j]);
if (j - i + 1 == k) {
res[x] = dq.peekFirst();
++x;
if (dq.peekFirst() == nums[i]) {
dq.pollFirst();
}
++i;
}
++j;
}
return res;
}
}
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