Inverse of a matrix in MATLAB and Python

Python code:

A= np.array([[1,2,3],[2,3,4],[3,4,5]])
print(np.linalg.inv(A))

MATLAB code:

A = [1,2,3;2,3,4;3,4,5]
inv(A)

Python Output:

[[-4.50359963e+15  9.00719925e+15 -4.50359963e+15]
    [ 9.00719925e+15 -1.80143985e+16  9.00719925e+15]
    [-4.50359963e+15  9.00719925e+15 -4.50359963e+15]]

Matlab Output:

ans =

1.0e+16 *

0.3002   -0.6005    0.3002
-0.6005    1.2010   -0.6005
0.3002   -0.6005    0.3002

Answer 1

[KSSV]

You are to trying to fid the inverse of a singular matrix. A singular matrix is the one which doesn't have inverse. So different programming languages, different versions of the same languages might give different answers based on the math library they use.

[KSSV]

Note that it is a singular matrix.

A = [1,2,3;2,3,4;3,4,5]

A = 3×3

1 2 3 2 3 4 3 4 5

inv(A)

Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 4.625929e-18.

ans = 3×3

1.0e+15 * -2.2518 4.5036 -2.2518 4.5036 -9.0072 4.5036 -2.2518 4.5036 -2.2518