inv(A)

Notes

This computes the sparse inverse of A. If the inverse of A is expected to be non-sparse, it will likely be faster to convert A to dense and use scipy.linalg.inv .

Parameters

A : (M, M) sparse matrix

square matrix to be inverted

Returns

Ainv : (M, M) sparse matrix

inverse of A

Compute the inverse of a sparse matrix

Examples

>>> from scipy.sparse import csc_matrix
... from scipy.sparse.linalg import inv
... A = csc_matrix([[1., 0.], [1., 2.]])
... Ainv = inv(A)
... Ainv
<2x2 sparse matrix of type '<class 'numpy.float64'>'
    with 3 stored elements in Compressed Sparse Column format>

>>> A.dot(Ainv)
<2x2 sparse matrix of type '<class 'numpy.float64'>'
    with 2 stored elements in Compressed Sparse Column format>

>>> A.dot(Ainv).toarray()
array([[ 1.,  0.],
       [ 0.,  1.]])

See :

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GitHub : /scipy/sparse/linalg/_matfuncs.py#30
type: <class 'function'>
Commit: