Write a function called maxsubsum that takes a matrix A as an input, computes the sum of elements in each of its submatrices, and finds the submatrix that has the maximum sum. If there are more than one with the same maximum sum, the function can pic

[rows, columns] = size(A);
overallMaxSum = -inf;
for smColumns = 1 : columns
    for smRows = 1 : rows
        sumMatrix = conv2(inputMatrix, ones(smRows, smColumns), 'same');
        maxValue = max(sumMatrix);
        if maxValue > overallMaxSum 
            numrows = smRows;
            numcols = smColumns;
           end
    end
end

[Walter Roberson]

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