Module « scipy.sparse.linalg »

Fonction inv - module scipy.sparse.linalg

Signature de la fonction inv

def inv(A) 

Description

inv.__doc__

    Compute the inverse of a sparse matrix

    Parameters
    ----------
    A : (M,M) ndarray or sparse matrix
        square matrix to be inverted

    Returns
    -------
    Ainv : (M,M) ndarray or sparse matrix
        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_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).todense()
    matrix([[ 1.,  0.],
            [ 0.,  1.]])

    .. versionadded:: 0.12.0