Compute the (Moore-Penrose) pseudo-inverse of a matrix.
Calculate a generalized inverse of a matrix using its singular-value decomposition and including all ‘large’ singular values.
Parameters: | a : (M, N) array_like
cond, rcond : float or None
return_rank : bool, optional
check_finite : boolean, optional
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Returns: | B : (N, M) ndarray
rank : int
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Raises: | LinAlgError
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Examples
>>> a = np.random.randn(9, 6)
>>> B = linalg.pinv2(a)
>>> np.allclose(a, dot(a, dot(B, a)))
True
>>> np.allclose(B, dot(B, dot(a, B)))
True