Sliding Window: 239. Sliding Window Maximum

Leetcode #: 239
Name: Sliding Window Maximum
Difficulty: Hard
Url: https://leetcode.com/problems/sliding-window-maximum/

Problem Statement

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

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

Constraints

  • 1 <= nums.length <= 105
  • 104 <= nums[i] <= 104
  • 1 <= k <= nums.length

Approach

Brute Force: O(k * (n — k))

We can simply take the maximum of each sliding window of size k as we shift it by 1 until we scan the given array from left to right. The time complexity of this would be the size of the sliding window (k) * the number of sliding windows we are going to have (n — k).

Monotonically Decreasing Queue: O(n)

If we have a sliding window and we see a value that is greater than previous values in our window, then we can eliminate those previous values from our window.

Code

Python | Time: O(n) | Space: O(n) | n = total number of integers in array nums

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John Kim

iOS Developer | Full Stack Developer | Software Engineer | LinkedIn: john-kim-developer | GitHub: cloudiosx | Portfolio: cloudiosx.com