Write a well-structured MATLAB function procedure named Fnorm to calculate the Frobenius norm of an m × n matrix. ||A||f=∑mi=1∑nj=1a2ij−−−−−−−−−−−−√ Here is a script that uses the functionA = [5 7 9; 1 8 4; 7 6 2];Fn = Fnorm(A)Here is the first line of the functionfunction Norm = Fnorm(x)

Step-by-step explanation:

function Fn = Fnorm(A)

[r,c] = size(A);

sum = 0;

for i=1:r

for j=1:c

sum = sum + (A(i,j) * A(i,j));

end

end

Fn = sqrt(sum);

end

A = [5 7 9; 1 8 4; 7 6 2]

fprintf("The Frobenius norm of an m × n matrix is\n");

Fn = Fnorm(A)

\

send it over

step-by-step explanation:

the smallest possible measurement of the width is 14 feet

step-by-step explanation:

let's assume length of parallelogram is 'l'

width of parallelogram is 'w'

the perimeter of a parallelogram must be no less than 40 feet

so, we get

we are given

length of parallelogram is 6 feet

so,

l=6

we can plug it

now, we can solve for w

subtract both sides by 12

divide both sides by 2

and we get

so,

the smallest possible measurement of the width is 14 feet