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BY HAND ) * * Given the matrix $ A = begin { bmatrix } 1 & 0 & 0 1 &

BY HAND)** Given the matrix
$
A=\begin{bmatrix}
1 & 0 & 0\\1 &2 & 0\\1 & 2 & 3
\end{bmatrix}
$,
use Gaussian (Gauss-Jordan) elimination to calculate its inverse. You must:
(i) explain the steps you followed, and
(ii) name the elementary matrices (in the correct order) used to reduce the matrix to the identity matrix. These are the elemanry matrices: E1= np.array([[1,0,0],
[-1,1,0],
[0,0,1]])
E2= np.array([[1,0,0],
[0,1,0],
[-1,0,1]])
E3= np.array([[1,0,0],
[0,1,0],
[0,-1,1]])
E4= np.array([[1,0,0],
[0,1/2,0],
[0,0,1]])
E5= np.array([[1,0,0],
[0,1,0],
[0,0,1/3]]) show the whole detailed process please

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