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How to Solve the Maximum Subarray Sum Problem Using Greedy Algorithm in PHP

M66 2025-07-08

How to Solve the Maximum Subarray Sum Problem Using Greedy Algorithm in PHP

The maximum subarray sum problem aims to find the largest sum of a contiguous subarray within a given array. The greedy algorithm, due to its simplicity and efficiency, is a commonly used approach for solving this problem. In this article, we will discuss how to implement the optimal solution for this problem using a greedy algorithm in PHP, and provide detailed code examples.

Introduction to the Greedy Algorithm

The core idea of the greedy algorithm is to choose the locally optimal solution at each step with the hope of finding the global optimum. In solving the maximum subarray sum problem, we repeatedly choose contiguous elements of the array, calculate their sum, and update the maximum sum accordingly.

Steps to Solve the Problem

The steps to solve the maximum subarray sum problem using the greedy algorithm are as follows:

  • Initialize two variables, $maxSum and $currSum, to store the current maximum sum found and the sum of the current contiguous subarray, respectively.
  • Iterate over the array, and for each element $num, perform the following actions:
    • Add the current element to $currSum and update $currSum.
    • If $currSum is greater than $maxSum, update $maxSum.
    • If $currSum is less than or equal to 0, it means the current subarray does not contribute positively to the sum, so reset $currSum to 0.
  • After completing the iteration, return $maxSum, which is the maximum subarray sum.

PHP Code Example

Here is the PHP code example to solve the maximum subarray sum problem:

function findMaxSubarray($arr) {
    $maxSum = PHP_INT_MIN;
    $currSum = 0;

    foreach ($arr as $num) {
        $currSum += $num;

        if ($currSum > $maxSum) {
            $maxSum = $currSum;
        }

        if ($currSum <= 0) {
            $currSum = 0;
        }
    }

    return $maxSum;
}

// Example usage
$arr = [1, -2, 3, 4, -5, 6, -7];
$maxSum = findMaxSubarray($arr);
echo 'The maximum subarray sum is: ' . $maxSum;

In the above code, we use a loop to traverse the array and update $currSum and $maxSum based on the current element. By doing so, we can compute the maximum subarray sum in a single traversal of the array.

Conclusion

This article demonstrated how to use a greedy algorithm in PHP to solve the maximum subarray sum problem optimally. By using this algorithm, you can efficiently calculate the maximum sum of contiguous subarrays and improve algorithmic performance in practical applications.