239. Sliding Window Maximum
Description
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
Solution
sliding-window-maximum.py
class Solution:
def maxSlidingWindow(self, nums: List[int], k: int) -> List[int]:
n = len(nums)
res = []
queue = collections.deque()
for i,x in enumerate(nums):
while queue and x >= nums[queue[-1]]:
queue.pop()
queue.append(i)
if i + 1 >= k:
res.append(nums[queue[0]])
if queue and i + 1 - k >= queue[0]:
queue.popleft()
return res
sliding-window-maximum.cpp
class Solution {
public:
vector<int> maxSlidingWindow(vector<int>& nums, int k) {
deque<int> deq;
vector<int> res;
for (int i = 0; i < nums.size(); i++){
if (i >= k && deq.front() == nums[i-k])
deq.pop_front();
while (deq.size() > 0 && deq.back() < nums[i])
deq.pop_back();
deq.push_back(nums[i]);
if (i >= k-1)
res.push_back(deq.front());
}
return res;
}
};