inv — SciPy v1.15.3 Manual (original) (raw)

scipy.linalg.

scipy.linalg.inv(a, overwrite_a=False, check_finite=True)[source]#

Compute the inverse of a matrix.

Parameters:

aarray_like

Square matrix to be inverted.

overwrite_abool, optional

Discard data in a (may improve performance). Default is False.

check_finitebool, optional

Whether to check that the input matrix contains only finite numbers. Disabling may give a performance gain, but may result in problems (crashes, non-termination) if the inputs do contain infinities or NaNs.

Returns:

ainvndarray

Inverse of the matrix a.

Raises:

LinAlgError

If a is singular.

ValueError

If a is not square, or not 2D.

Examples

import numpy as np from scipy import linalg a = np.array([[1., 2.], [3., 4.]]) linalg.inv(a) array([[-2. , 1. ], [ 1.5, -0.5]]) np.dot(a, linalg.inv(a)) array([[ 1., 0.], [ 0., 1.]])