diff --git a/src/main/java/com/thealgorithms/slidingwindow/MaxSumKSizeSubarray.java b/src/main/java/com/thealgorithms/slidingwindow/MaxSumKSizeSubarray.java new file mode 100644 index 000000000000..7e8095e08a0b --- /dev/null +++ b/src/main/java/com/thealgorithms/slidingwindow/MaxSumKSizeSubarray.java @@ -0,0 +1,50 @@ +package com.thealgorithms.slidingwindow; + +/** + * The Sliding Window algorithm is used to find the maximum sum of a subarray + * of a fixed size k within a given array. + * + *
+ * Worst-case performance O(n) + * Best-case performance O(n) + * Average performance O(n) + * Worst-case space complexity O(1) + * + * @author Your Name (https://github.com/Chiefpatwal) + */ +public final class MaxSumKSizeSubarray { + + // Prevent instantiation + private MaxSumKSizeSubarray() { + } + + /** + * This method finds the maximum sum of a subarray of a given size k. + * + * @param arr is the input array where the maximum sum needs to be found + * @param k is the size of the subarray + * @return the maximum sum of the subarray of size k + */ + public static int maxSumKSizeSubarray(int[] arr, int k) { + if (arr.length < k) { + return -1; // Edge case: not enough elements + } + + int maxSum; + int windowSum = 0; + + // Calculate the sum of the first window + for (int i = 0; i < k; i++) { + windowSum += arr[i]; + } + maxSum = windowSum; + + // Slide the window across the array + for (int i = k; i < arr.length; i++) { + windowSum += arr[i] - arr[i - k]; + maxSum = Math.max(maxSum, windowSum); + } + + return maxSum; + } +} diff --git a/src/test/java/com/thealgorithms/slidingwindow/MaxSumKSizeSubarrayTest.java b/src/test/java/com/thealgorithms/slidingwindow/MaxSumKSizeSubarrayTest.java new file mode 100644 index 000000000000..aa3c2eae3294 --- /dev/null +++ b/src/test/java/com/thealgorithms/slidingwindow/MaxSumKSizeSubarrayTest.java @@ -0,0 +1,79 @@ +package com.thealgorithms.slidingwindow; + +import static org.junit.jupiter.api.Assertions.assertEquals; + +import org.junit.jupiter.api.Test; + +/** + * Unit tests for the MaxSumKSizeSubarray class. + * + * @author Your Name (https://github.com/Chiefpatwal) + */ +class MaxSumKSizeSubarrayTest { + + /** + * Test for the basic case of finding the maximum sum. + */ + @Test + void testMaxSumKSizeSubarray() { + int[] arr = {1, 2, 3, 4, 5}; + int k = 2; + int expectedMaxSum = 9; // 4 + 5 + assertEquals(expectedMaxSum, MaxSumKSizeSubarray.maxSumKSizeSubarray(arr, k)); + } + + /** + * Test for a different array and subarray size. + */ + @Test + void testMaxSumKSizeSubarrayWithDifferentValues() { + int[] arr = {2, 1, 5, 1, 3, 2}; + int k = 3; + int expectedMaxSum = 9; // 5 + 1 + 3 + assertEquals(expectedMaxSum, MaxSumKSizeSubarray.maxSumKSizeSubarray(arr, k)); + } + + /** + * Test for edge case with insufficient elements. + */ + @Test + void testMaxSumKSizeSubarrayWithInsufficientElements() { + int[] arr = {1, 2}; + int k = 3; // Not enough elements + int expectedMaxSum = -1; // Edge case + assertEquals(expectedMaxSum, MaxSumKSizeSubarray.maxSumKSizeSubarray(arr, k)); + } + + /** + * Test for large array. + */ + @Test + void testMaxSumKSizeSubarrayWithLargeArray() { + int[] arr = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10}; + int k = 5; + int expectedMaxSum = 40; // 6 + 7 + 8 + 9 + 10 + assertEquals(expectedMaxSum, MaxSumKSizeSubarray.maxSumKSizeSubarray(arr, k)); + } + + /** + * Test for array with negative numbers. + */ + @Test + void testMaxSumKSizeSubarrayWithNegativeNumbers() { + int[] arr = {-1, -2, -3, -4, -5}; + int k = 2; + int expectedMaxSum = -3; // -1 + -2 + assertEquals(expectedMaxSum, MaxSumKSizeSubarray.maxSumKSizeSubarray(arr, k)); + } + + /** + * Test for the case where k equals the array length. + */ + @Test + void testMaxSumKSizeSubarrayWithKEqualToArrayLength() { + int[] arr = {1, 2, 3, 4, 5}; + int k = 5; + int expectedMaxSum = 15; // 1 + 2 + 3 + 4 + 5 + assertEquals(expectedMaxSum, MaxSumKSizeSubarray.maxSumKSizeSubarray(arr, k)); + } +}