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Learn how to find the maximum element in a sliding window of size k in an array of integers. See the input, output, and explanation for an example problem and the code for a possible solution.
- Using Nested Loops O(n * K) Time and O(1) Space
- Using Max-Heap(N Log N) Time and O(N) Space
- Using Seto(N Log N) Time and O(k) Space
- Using Dequeo(N) Time and O(k) Space
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The idea is very basic run a nested loop, the outer loop which will mark the starting point of the subarray of length K, the inner loop will run from the starting index to index+K, and print the maximum element among these K elements. Below is the implementation of the above approach: Time Complexity: O(n * k) Auxiliary Space: O(1)
We use a priority queue or heap data structure. We make sure that heap has largest item of the current window. 1. Create a max heap of the first k items 2. Now slide the window one by one. While the next item to be added is greater than the heap top, remove the top. We mainly make sure that the greater items of the previous window are not there in ...
Step-by-Step Algorithm: 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 the above approach: ...
Below is the illustration of the above approach: Step-by-Step Algorithm: 1. Create a deque to store only useful elements of current window. 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...
Learn how to find the maximum of each subarray of size K in an array using various approaches. See examples, code, and time complexity analysis for each method.
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 C#.
Learn how to find the maximum value in each sliding window of a given array using a double-ended queue (deque). See the problem description, intuition, solution approach, example walkthrough and code implementation in Python, Java and C++.
Jul 8, 2024 · Learn how to use sliding window technique to solve problems involving subarrays or substrings with a given set of conditions. Find examples, use cases, and C++ code for finding maximum sum, smallest subarray, and more.
- 15 min
Learn how to find the maximum of all subarrays of size k using the sliding window technique. See the brute force and the optimized solutions with Java code and examples.
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Sep 10, 2023 · This type of sliding window is particularly useful when you need to process data within a fixed range or for a specific length of elements. Example: Maximum Sum Subarray (Fixed-Size Window)
