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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
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[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
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