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Add Maximum Sliding Window algorithm (#5848)
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package com.thealgorithms.others;
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import java.util.ArrayDeque;
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import java.util.Deque;
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/**
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* Maximum Sliding Window Algorithm
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*
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* This algorithm finds the maximum element in each sliding window of size k
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* in a given array of integers. It uses a deque (double-ended queue) to
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* efficiently keep track of potential maximum values in the current window.
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*
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* Time Complexity: O(n), where n is the number of elements in the input array
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* Space Complexity: O(k), where k is the size of the sliding window
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*/
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public class MaximumSlidingWindow {
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/**
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* Finds the maximum values in each sliding window of size k.
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*
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* @param nums The input array of integers
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* @param windowSize The size of the sliding window
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* @return An array of integers representing the maximums in each window
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*/
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public int[] maxSlidingWindow(int[] nums, int windowSize) {
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if (nums == null || nums.length == 0 || windowSize <= 0 || windowSize > nums.length) {
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return new int[0]; // Handle edge cases
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}
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int[] result = new int[nums.length - windowSize + 1];
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Deque<Integer> deque = new ArrayDeque<>();
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for (int currentIndex = 0; currentIndex < nums.length; currentIndex++) {
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// Remove the first element if it's outside the current window
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if (!deque.isEmpty() && deque.peekFirst() == currentIndex - windowSize) {
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deque.pollFirst();
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}
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// Remove all elements smaller than the current element from the end
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while (!deque.isEmpty() && nums[deque.peekLast()] < nums[currentIndex]) {
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deque.pollLast();
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}
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// Add the current element's index to the deque
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deque.offerLast(currentIndex);
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// If we have processed at least k elements, add to result
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if (currentIndex >= windowSize - 1) {
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result[currentIndex - windowSize + 1] = nums[deque.peekFirst()];
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}
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}
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return result;
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}
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}
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package com.thealgorithms.others;
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import static org.junit.jupiter.api.Assertions.assertArrayEquals;
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import org.junit.jupiter.api.BeforeEach;
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import org.junit.jupiter.api.Test;
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class MaximumSlidingWindowTest {
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MaximumSlidingWindow msw;
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int[] nums;
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int k;
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@BeforeEach
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void setUp() {
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msw = new MaximumSlidingWindow(); // Initialize the MaximumSlidingWindow object
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}
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// Test for a simple sliding window case
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@Test
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void testMaxSlidingWindowSimpleCase() {
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nums = new int[] {1, 3, -1, -3, 5, 3, 6, 7};
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k = 3;
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int[] expected = {3, 3, 5, 5, 6, 7};
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assertArrayEquals(expected, msw.maxSlidingWindow(nums, k));
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}
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// Test when window size is 1 (output should be the array itself)
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@Test
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void testMaxSlidingWindowWindowSizeOne() {
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nums = new int[] {4, 2, 12, 11, -5};
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k = 1;
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int[] expected = {4, 2, 12, 11, -5};
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assertArrayEquals(expected, msw.maxSlidingWindow(nums, k));
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}
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// Test when the window size is equal to the array length (output should be a single max element)
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@Test
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void testMaxSlidingWindowWindowSizeEqualsArrayLength() {
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nums = new int[] {4, 2, 12, 11, -5};
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k = nums.length;
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int[] expected = {12}; // Maximum of the entire array
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assertArrayEquals(expected, msw.maxSlidingWindow(nums, k));
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}
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// Test when the input array is empty
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@Test
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void testMaxSlidingWindowEmptyArray() {
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nums = new int[] {};
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k = 3;
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int[] expected = {};
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assertArrayEquals(expected, msw.maxSlidingWindow(nums, k));
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}
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// Test when the window size is larger than the array (should return empty)
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@Test
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void testMaxSlidingWindowWindowSizeLargerThanArray() {
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nums = new int[] {1, 2, 3};
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k = 5;
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int[] expected = {}; // Window size is too large, so no result
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assertArrayEquals(expected, msw.maxSlidingWindow(nums, k));
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}
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}
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