darsia.KernelInterpolation

class KernelInterpolation(kernel, supports=None, values=None)

Bases: Model

General kernel-based interpolation.

Setup of the kernel-based interpolation.

Parameters:

kerneldarsia.BaseKernel

Kernel.

supportsnp.ndarray

Support points.

valuesnp.ndarray

Goal points.

Raises:

AssertionError

If the input data is not compatible, i.e., the number of supports and values does not match.

Methods

calibrate()	Calibration routine of model.
setup_kernel_problem()	Setup of linear kernel problem.
update([kernel, supports, values, append])	Update kernel and interpolation weights.
update_interpolation()	Update interpolation weights.
update_kernel(kernel)	Update kernel.
update_model_parameters(parameters[, dofs])

Attributes

kernel	Kernel.
supports	Support points.
values	Goal points.
num_supports	Number of support points.
interpolation_weights	Interpolation weights.

setup_kernel_problem()

Setup of linear kernel problem.

update(kernel=None, supports=None, values=None, append=False)

Update kernel and interpolation weights.

Parameters:

kerneldarsia.BaseKernel, optional

Kernel.

supportsnp.ndarray, optional

Support points.

valuesnp.ndarray, optional

Goal points.

appendbool

Flag to append new data to existing data.

update_interpolation()

Update interpolation weights.

Raises:

AssertionError

If the input data is not compatible, i.e., the number of supports and values does not match.

update_kernel(kernel)

Update kernel.

Parameters:

kerneldarsia.BaseKernel

Kernel.

interpolation_weights

Interpolation weights.

kernel

Kernel.

num_supports

Number of support points.

supports

Support points.

values

Goal points.