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Maximum Subarray Sum (Kadane’s Algorithm)

This algorithm finds the maximum sum of a contiguous subarray within a one-dimensional array of numbers. It uses Kadane’s Algorithm, which efficiently computes the result in linear time by iterating through the array and keeping track of the current maximum sum ending at each position. This is useful for problems involving financial analysis, signal processing, and more.

Example:
For the array [-2, 1, -3, 4, -1, 2, 1, -5, 4], the maximum subarray sum is 6 (subarray [4, -1, 2, 1]).

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