_validate_args_for_toeplitz_ops(c_or_cr, b, check_finite, keep_b_shape, enforce_square=True)

Parameters

c_or_cr : array_like or tuple of (array_like, array_like)

The vector c , or a tuple of arrays ( c , r ). Whatever the actual shape of c , it will be converted to a 1-D array. If not supplied, r = conjugate(c) is assumed; in this case, if c[0] is real, the Toeplitz matrix is Hermitian. r[0] is ignored; the first row of the Toeplitz matrix is [c[0], r[1:]] . Whatever the actual shape of r , it will be converted to a 1-D array.

b : (M,) or (M, K) array_like

Right-hand side in T x = b .

check_finite : bool

Whether to check that the input matrices contain only finite numbers. Disabling may give a performance gain, but may result in problems (result entirely NaNs) if the inputs do contain infinities or NaNs.

keep_b_shape: bool :

Whether to convert a (M,) dimensional b into a (M, 1) dimensional matrix.

enforce_square: bool, optional :

If True (default), this verifies that the Toeplitz matrix is square.

Returns

r : array

1d array corresponding to the first row of the Toeplitz matrix.

c: array

1d array corresponding to the first column of the Toeplitz matrix.

b: array

(M,), (M, 1) or (M, K) dimensional array, post validation, corresponding to b .

dtype: numpy datatype

dtype stores the datatype of r , c and b . If any of r , c or b are complex, dtype is np.complex128 , otherwise, it is np.float .

b_shape: tuple

Shape of b after passing it through _asarray_validated .

Validate arguments and format inputs for toeplitz functions

Examples

See :

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GitHub : /scipy/linalg/_basic.py#1660
type: <class 'function'>
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