scipy.linalg.
inv#
- 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.]])