Inconsistent Results with Kadane's Algorithm for Maximum Subarray Sum in Java - Handling Multiple Edge Cases
I'm prototyping a solution and Can someone help me understand I'm reviewing some code and I'm experimenting with I tried several approaches but none seem to work....... I'm currently implementing Kadane's Algorithm to find the maximum sum of a contiguous subarray in Java, but I'm working with inconsistent results, particularly with arrays that contain all negative numbers or a mix of positive and negative values. For instance, given the array `[-2, -3, -1, -4]`, I expected the result to be `-1`, yet my implementation returns `-6`. Here's the snippet of my code: ```java public class MaxSubArray { public static int maxSubArray(int[] nums) { int maxSoFar = Integer.MIN_VALUE; int maxEndingHere = 0; for (int num : nums) { maxEndingHere += num; if (maxSoFar < maxEndingHere) { maxSoFar = maxEndingHere; } if (maxEndingHere < 0) { maxEndingHere = 0; } } return maxSoFar; } } ``` I've tried adjusting the algorithm to handle the edge cases by checking if the maximum sum is updated only when `maxEndingHere` is greater than `maxSoFar`, but it seems to just mask the scenario. Additionally, I added debugging statements to log the values of `maxSoFar` and `maxEndingHere` during each iteration, and I can see that `maxEndingHere` is not resetting properly when all elements are negative. Could anyone share insights on how to correctly handle arrays with negative numbers? Is there a better way to ensure that the algorithm returns the correct maximum subarray sum for all types of input? I'm using Java 17 and have confirmed that my input array is being passed correctly. Any help would be greatly appreciated! Thanks in advance! I'm developing on Linux with Java. I'm developing on Windows 10 with Java. This is happening in both development and production on macOS.