Algorithm Interview Question: Find Maximum Subarray Sum

In the world of algorithms, finding the maximum subarray sum in an array of integers is a common and important problem. To solve this efficiently, we can implement a function in various programming languages like Python, Java, C++, etc. that uses a dynamic programming approach to find the maximum sum of a contiguous subarray within the input array.

Here is an example implementation in Python:

def max_subarray_sum(arr):
    max_sum = current_sum = arr[0]
    
    for num in arr[1:]:
        current_sum = max(num, current_sum + num)
        max_sum = max(max_sum, current_sum)
    
    return max_sum

# Test the function with an example input array
input_array = [1, -2, 3, 4, -1, 2, 1, -5, 4]
result = max_subarray_sum(input_array)
print(result)

Using this function, we can efficiently find the maximum subarray sum in any given array of integers. It follows a simple and effective algorithmic approach that guarantees optimal performance.