Yahoo India Web Search

Search results

1. leetcode.com › problems › sliding-window-maximumSliding Window Maximum - LeetCode

   leetcode.com › problems › sliding-window-maximum

   Find the maximum value in a sliding window of size k that moves along an array of integers. See examples, constraints and discussion for this hard problem.

2. www.geeksforgeeks.org › sliding-window-maximumSliding Window Maximum (Maximum of all subarrays of size K)

   www.geeksforgeeks.org › sliding-window-maximum

   • Cached

   • Maximum of All Subarrays of Size K Using Max-Heap
   • Maximum of All Subarrays of Size K Using Set
   • Maximum of All Subarrays of Size K Using Deque
   • GeneratedCaptionsTabForHeroSec

   Initialize an empty priority queue heap to store elements in decreasing order of their values, along with their indices.

   Push the first k elements of the input array arrinto the priority queue heap along with their respective indices.

   The maximum element in the first window is obtained by accessing the top element of the priority queue heap. Push this maximum element into the answer vector ans.

   Process the remaining elements of arr starting from index k:

   See full list on geeksforgeeks.org

   Follow the given steps to solve the problem: 1. Create a Set to store and find the maximum element. 2. Traverse through the array from start to end. 3. Insert the element in theSet. 4. If the loop counter is greater than or equal to k then delete the i-Kth element from the Set. 5. Print the maximum element of the Set. Below is the implementation of...

   See full list on geeksforgeeks.org

   Below is the dry run of the above approach: Follow the given steps to solve the problem: 1. Create a deque to store Kelements. 2. Run a loop and insert the first Kelements in the deque. Before inserting the element, check if the element at the back of the queue is smallerthan the current element, if it is so remove the element from the back of the ...

   See full list on geeksforgeeks.org

   Learn how to find the maximum of all subarrays of size K in an array using different approaches. Compare the time and space complexity, code examples and extensions of this problem.

   See full list on geeksforgeeks.org

   • Video Duration: 15 min

3. www.geeksforgeeks.org › window-sliding-techniqueSliding Window Technique - GeeksforGeeks

   www.geeksforgeeks.org › window-sliding-technique

   • Cached

   Apr 18, 2024 · Use Cases of Sliding Window Technique: 1. To find the maximum sum of all subarrays of size K: Given an array of integers of size ‘n’, Our aim is to calculate the maximum sum of ‘k’ consecutive elements in the array. Input : arr [] = {100, 200, 300, 400}, k = 2.

   • Video Duration: 2 min

4. www.geeksforgeeks.org › sliding-window-maximum-set-2Sliding Window Maximum : Set 2 - GeeksforGeeks

   www.geeksforgeeks.org › sliding-window-maximum-set-2

   • Cached

   Apr 8, 2022 · Learn how to find the maximum element of each subarray of size K in an array using two pointer technique. See examples, code implementations and time complexity analysis in C++, Java, Python and other languages.

5. algo.monster › liteproblems › 239239. Sliding Window Maximum - In-Depth Explanation

   algo.monster › liteproblems › 239

   • Cached

   In this problem, you're given an array nums of integers, and an integer k which represents the size of a sliding window. This sliding window moves across the array from left to right, one element at a time. At each position of the window, you can only see k numbers within it.

6. www.freecodecamp.org › news › sliding-window-techniqueHow to Use the Sliding Window Technique – Algorithm Example ...

   www.freecodecamp.org › news › sliding-window-technique

   • Cached

   Jan 11, 2024 · What is the Sliding Window Technique? The sliding window technique is an algorithmic approach used in computer science and signal processing. It involves selecting a fixed-size subset, or "window," from a larger dataset and moving this window through the dataset in a step-wise fashion.

7. People also ask

   How do I find the maximum sliding window?

   • 239. Sliding Window Maximum 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.

   Sliding Window Maximum - LeetCode

   leetcode.com/problems/sliding-window-maximum/

   See all results for this question

   What is sliding window maximum?

   • Set 1: Sliding Window Maximum (Maximum of all subarrays of size k). Examples: Approach: To solve this in lesser space complexity we can use two pointer technique . The second variable pointer marks the ending index of the first variable pointer i.e., (i + K – 1)th index.

   Sliding Window Maximum : Set 2 - GeeksforGeeks

   www.geeksforgeeks.org/sliding-window-maximum-set-2/

   See all results for this question

   How to solve a fixed size sliding window?

   • 1. Fixed Size Sliding Window: The general steps to solve these questions by following below steps: Compute the result for 1st window, i.e. include the first K elements of the data structure. Then use a loop to slide the window by 1 and keep computing the result window by window. 2. Variable Size Sliding Window:

   Sliding Window Technique - GeeksforGeeks

   www.geeksforgeeks.org/window-sliding-technique/

   See all results for this question

   How to get the maximum element in a sliding window?

   • The maximum element in the current window is obtained by accessing the top element of the priority queue heap. Push this maximum element into the answer vector ans. Finally, return the answer vector ans containing the maximum elements in each sliding window. Below is the implementation of the above approach:

   Sliding Window Maximum (Maximum of all subarrays of size K)

   www.geeksforgeeks.org/sliding-window-maximum-maximum-of-all-subarrays-of-size-k/

   See all results for this question

8. walkccc.me › LeetCode › problems239. Sliding Window Maximum - LeetCode Solutions

   walkccc.me › LeetCode › problems

   • Cached

   class Solution { public: vector<int> maxSlidingWindow(vector<int>& nums, int k) { vector<int> ans; deque<int> maxQ; for (int i = 0; i < nums.size(); ++i) { while (!maxQ.empty() && maxQ.back() < nums[i]) maxQ.pop_back(); maxQ.push_back(nums[i]); if (i >= k && nums[i - k] == maxQ.front()) // out-of-bounds maxQ.pop_front(); if (i >= k - 1) ans.push...