inverse matrix python
import numpy as np
# X is the matrix to invert
X_inverted = numpy.linalg.inv(X)inverse matrix python
import numpy as np
# X is the matrix to invert
X_inverted = numpy.linalg.inv(X)inverse matrix numpy
#You can either use the included inv fucntion
M_inverse = numpy.linalg.inv(M)
#Or use the exponent notation, which is also understood by numpy
M_inverse = M**(-1)inverse matrice python
>>> import numpy as np
>>> A = np.array(([1,3,3],[1,4,3],[1,3,4]))
>>> A
array([[1, 3, 3],
[1, 4, 3],
[1, 3, 4]])
>>> A_inv = np.linalg.inv(A)
>>> A_inv
array([[ 7., -3., -3.],
[-1., 1., 0.],
[-1., 0., 1.]])Copyright © 2021 Codeinu
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