mirror of
https://github.com/TheAlgorithms/Java.git
synced 2025-07-06 17:29:31 +08:00
Add Maximum Sliding Window algorithm (#5848)
This commit is contained in:
@ -0,0 +1,56 @@
|
|||||||
|
package com.thealgorithms.others;
|
||||||
|
|
||||||
|
import java.util.ArrayDeque;
|
||||||
|
import java.util.Deque;
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Maximum Sliding Window Algorithm
|
||||||
|
*
|
||||||
|
* This algorithm finds the maximum element in each sliding window of size k
|
||||||
|
* in a given array of integers. It uses a deque (double-ended queue) to
|
||||||
|
* efficiently keep track of potential maximum values in the current window.
|
||||||
|
*
|
||||||
|
* Time Complexity: O(n), where n is the number of elements in the input array
|
||||||
|
* Space Complexity: O(k), where k is the size of the sliding window
|
||||||
|
*/
|
||||||
|
|
||||||
|
public class MaximumSlidingWindow {
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Finds the maximum values in each sliding window of size k.
|
||||||
|
*
|
||||||
|
* @param nums The input array of integers
|
||||||
|
* @param windowSize The size of the sliding window
|
||||||
|
* @return An array of integers representing the maximums in each window
|
||||||
|
*/
|
||||||
|
public int[] maxSlidingWindow(int[] nums, int windowSize) {
|
||||||
|
if (nums == null || nums.length == 0 || windowSize <= 0 || windowSize > nums.length) {
|
||||||
|
return new int[0]; // Handle edge cases
|
||||||
|
}
|
||||||
|
|
||||||
|
int[] result = new int[nums.length - windowSize + 1];
|
||||||
|
Deque<Integer> deque = new ArrayDeque<>();
|
||||||
|
|
||||||
|
for (int currentIndex = 0; currentIndex < nums.length; currentIndex++) {
|
||||||
|
|
||||||
|
// Remove the first element if it's outside the current window
|
||||||
|
if (!deque.isEmpty() && deque.peekFirst() == currentIndex - windowSize) {
|
||||||
|
deque.pollFirst();
|
||||||
|
}
|
||||||
|
|
||||||
|
// Remove all elements smaller than the current element from the end
|
||||||
|
while (!deque.isEmpty() && nums[deque.peekLast()] < nums[currentIndex]) {
|
||||||
|
deque.pollLast();
|
||||||
|
}
|
||||||
|
|
||||||
|
// Add the current element's index to the deque
|
||||||
|
deque.offerLast(currentIndex);
|
||||||
|
|
||||||
|
// If we have processed at least k elements, add to result
|
||||||
|
if (currentIndex >= windowSize - 1) {
|
||||||
|
result[currentIndex - windowSize + 1] = nums[deque.peekFirst()];
|
||||||
|
}
|
||||||
|
}
|
||||||
|
return result;
|
||||||
|
}
|
||||||
|
}
|
@ -0,0 +1,63 @@
|
|||||||
|
package com.thealgorithms.others;
|
||||||
|
|
||||||
|
import static org.junit.jupiter.api.Assertions.assertArrayEquals;
|
||||||
|
|
||||||
|
import org.junit.jupiter.api.BeforeEach;
|
||||||
|
import org.junit.jupiter.api.Test;
|
||||||
|
|
||||||
|
class MaximumSlidingWindowTest {
|
||||||
|
|
||||||
|
MaximumSlidingWindow msw;
|
||||||
|
int[] nums;
|
||||||
|
int k;
|
||||||
|
|
||||||
|
@BeforeEach
|
||||||
|
void setUp() {
|
||||||
|
msw = new MaximumSlidingWindow(); // Initialize the MaximumSlidingWindow object
|
||||||
|
}
|
||||||
|
|
||||||
|
// Test for a simple sliding window case
|
||||||
|
@Test
|
||||||
|
void testMaxSlidingWindowSimpleCase() {
|
||||||
|
nums = new int[] {1, 3, -1, -3, 5, 3, 6, 7};
|
||||||
|
k = 3;
|
||||||
|
int[] expected = {3, 3, 5, 5, 6, 7};
|
||||||
|
assertArrayEquals(expected, msw.maxSlidingWindow(nums, k));
|
||||||
|
}
|
||||||
|
|
||||||
|
// Test when window size is 1 (output should be the array itself)
|
||||||
|
@Test
|
||||||
|
void testMaxSlidingWindowWindowSizeOne() {
|
||||||
|
nums = new int[] {4, 2, 12, 11, -5};
|
||||||
|
k = 1;
|
||||||
|
int[] expected = {4, 2, 12, 11, -5};
|
||||||
|
assertArrayEquals(expected, msw.maxSlidingWindow(nums, k));
|
||||||
|
}
|
||||||
|
|
||||||
|
// Test when the window size is equal to the array length (output should be a single max element)
|
||||||
|
@Test
|
||||||
|
void testMaxSlidingWindowWindowSizeEqualsArrayLength() {
|
||||||
|
nums = new int[] {4, 2, 12, 11, -5};
|
||||||
|
k = nums.length;
|
||||||
|
int[] expected = {12}; // Maximum of the entire array
|
||||||
|
assertArrayEquals(expected, msw.maxSlidingWindow(nums, k));
|
||||||
|
}
|
||||||
|
|
||||||
|
// Test when the input array is empty
|
||||||
|
@Test
|
||||||
|
void testMaxSlidingWindowEmptyArray() {
|
||||||
|
nums = new int[] {};
|
||||||
|
k = 3;
|
||||||
|
int[] expected = {};
|
||||||
|
assertArrayEquals(expected, msw.maxSlidingWindow(nums, k));
|
||||||
|
}
|
||||||
|
|
||||||
|
// Test when the window size is larger than the array (should return empty)
|
||||||
|
@Test
|
||||||
|
void testMaxSlidingWindowWindowSizeLargerThanArray() {
|
||||||
|
nums = new int[] {1, 2, 3};
|
||||||
|
k = 5;
|
||||||
|
int[] expected = {}; // Window size is too large, so no result
|
||||||
|
assertArrayEquals(expected, msw.maxSlidingWindow(nums, k));
|
||||||
|
}
|
||||||
|
}
|
Reference in New Issue
Block a user