def cholesky(self, name="cholesky"):
"""Returns a Cholesky factor as a `LinearOperator`.
Given `A` representing this `LinearOperator`, if `A` is positive definite
self-adjoint, return `L`, where `A = L L^T`, i.e. the cholesky
decomposition.
Args:
name: A name for this `Op`.
Returns:
`LinearOperator` which represents the lower triangular matrix
in the Cholesky decomposition.
Raises:
ValueError: When the `LinearOperator` is not hinted to be positive
definite and self adjoint.
"""
if not self._can_use_cholesky():
raise ValueError("Cannot take the Cholesky decomposition: "
"Not a positive definite self adjoint matrix.")
with self._name_scope(name):
return linear_operator_algebra.cholesky(self)
def cholesky(self, name="cholesky"):
"""Returns a Cholesky factor as a `LinearOperator`.
Given `A` representing this `LinearOperator`, if `A` is positive definite
self-adjoint, return `L`, where `A = L L^T`, i.e. the cholesky
decomposition.
Args:
name: A name for this `Op`.
Returns:
`LinearOperator` which represents the lower triangular matrix
in the Cholesky decomposition.
Raises:
ValueError: When the `LinearOperator` is not hinted to be positive
definite and self adjoint.
"""
if not self._can_use_cholesky():
raise ValueError("Cannot take the Cholesky decomposition: "
"Not a positive definite self adjoint matrix.")
with self._name_scope(name):
return linear_operator_algebra.cholesky(self)
