def inv(a):
"""
Compute the inverse of a matrix.
Parameters
----------
a : array_like, shape (M, M)
Matrix to be inverted
Returns
-------
ainv : ndarray, shape (M, M)
Inverse of the matrix `a`
Raises
------
LinAlgError
If `a` is singular or not square.
Examples
--------
>>> a = np.array([[1., 2.], [3., 4.]])
>>> np.linalg.inv(a)
array([[-2. , 1. ],
[ 1.5, -0.5]])
>>> np.dot(a, np.linalg.inv(a))
array([[ 1., 0.],
[ 0., 1.]])
"""
a, wrap = _makearray(a)
return wrap(solve(a, identity(a.shape[0], dtype=a.dtype)))
def inv(a):
"""
Compute the inverse of a matrix.
Parameters
----------
a : array_like, shape (M, M)
Matrix to be inverted
Returns
-------
ainv : ndarray, shape (M, M)
Inverse of the matrix `a`
Raises
------
LinAlgError
If `a` is singular or not square.
Examples
--------
>>> a = np.array([[1., 2.], [3., 4.]])
>>> np.linalg.inv(a)
array([[-2. , 1. ],
[ 1.5, -0.5]])
>>> np.dot(a, np.linalg.inv(a))
array([[ 1., 0.],
[ 0., 1.]])
"""
a, wrap = _makearray(a)
return wrap(solve(a, identity(a.shape[0], dtype=a.dtype)))
def inv(a):
"""Compute the inverse of a matrix.
Parameters
----------
a : array-like, shape (M, M)
Matrix to be inverted
Returns
-------
ainv : array-like, shape (M, M)
Inverse of the matrix a
Raises LinAlgError if a is singular or not square
Examples
--------
>>> from numpy import array, inv, dot
>>> a = array([[1., 2.], [3., 4.]])
>>> inv(a)
array([[-2. , 1. ],
[ 1.5, -0.5]])
>>> dot(a, inv(a))
array([[ 1., 0.],
[ 0., 1.]])
"""
a, wrap = _makearray(a)
return wrap(solve(a, identity(a.shape[0], dtype=a.dtype)))
def inv(a):
"""Compute the inverse of a matrix.
Parameters
----------
a : array-like, shape (M, M)
Matrix to be inverted
Returns
-------
ainv : array-like, shape (M, M)
Inverse of the matrix a
Raises LinAlgError if a is singular or not square
Examples
--------
>>> from numpy import array, inv, dot
>>> a = array([[1., 2.], [3., 4.]])
>>> inv(a)
array([[-2. , 1. ],
[ 1.5, -0.5]])
>>> dot(a, inv(a))
array([[ 1., 0.],
[ 0., 1.]])
"""
a, wrap = _makearray(a)
return wrap(solve(a, identity(a.shape[0], dtype=a.dtype)))
def inv(a):
a, wrap = _makearray(a)
return wrap(solve(a, identity(a.shape[0], dtype=a.dtype)))
def inv(a):
a, wrap = _makearray(a)
return wrap(solve(a, identity(a.shape[0], dtype=a.dtype)))