`scipy.sparse.linalg._matfuncs:inv`

source: /scipy/sparse/linalg/_matfuncs.py :31

Signature

def inv ( A )

Summary

Compute the inverse of a sparse arrays

Parameters

A : (M, M) sparse arrays: square matrix to be inverted

Returns

Ainv : (M, M) sparse arrays: inverse of 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.

Examples

from scipy.sparse import csc_array
from scipy.sparse.linalg import inv
A = csc_array([[1., 0.], [1., 2.]])
Ainv = inv(A)

✓

Ainv
A.dot(Ainv)
A.dot(Ainv).toarray()

✗

.. versionadded:: 0.12.0

Aliases

scipy.sparse.linalg.inv