covmats.CovKernelAsLinop

class covmats.CovKernelAsLinop(*args, **kwargs)

Abstract class providing linear operator capability from a kernel definition.

__init__(pts: ndarray[tuple[Any, ...], dtype[float64]], kernel: Callable, len_scale: ndarray[tuple[Any, ...], dtype[float64]], nugget: float = 0.0, k: int = 100, is_use_preconditioner: bool = False) → None

Initialize the instance.

Parameters:

• pts (NDArrayFloat) – _description_

• kernel (Callable) – _description_

• nugget (float, optional) – _description_, by default 0.0

Properties

count
solvematvecs
H	Hermitian adjoint.
T	Transpose this linear operator.
n_pts	Return the number of points covered.
ndim

Methods

adjoint	Hermitian adjoint.
dot	Matrix-matrix or matrix-vector multiplication.
get_diagonal	Return the diagonal entries of the matrix (variances).
itercount	Return the number of counts.
matmat	Matrix-matrix multiplication.
matvec	Matrix-vector multiplication.
reset_comptors	Set the comptors to zero.
rmatmat	Adjoint matrix-matrix multiplication.
rmatvec	Adjoint matrix-vector multiplication.
solve	Solve Ax = b, with A, the current covariance matrix instance.
todense	Explicit dense representation of the covariance matrix.
transpose	Transpose this linear operator.