projection_domain: Representation on the time domain of a function defined by...

In ardeeshany/AFSSEN: Adaptive Function on Scalar Elastic Net

Representation on the time domain of a function defined by the coefficients of the kernel basis

Description

It computes the pointwise evaluation of a function (or a set of functions) on the time domain, given its (their) projection on the kernel basis.

Usage

projection_domain(y, eigenfun)

Arguments

y	matrix. J \times N matrix containing in column n the coefficients of the projection of the function y_n on the J eigenfunctions of the kernel.
eigenfun	matrix. m \times J matrix containing in each column the point-wise evaluation of the eigenfunctions on the kernel

Value

N \times m matrix containing in the row n the pointwise evaluation of the function y_n on the domain D of length m.

Examples

data(SobolevKernel)
data(simulation)
projection_domain(Y_matrix, eigenvect) # projection of the data
# on the time domain seq(0, 1, length = 50)

ardeeshany/AFSSEN documentation built on Aug. 28, 2022, 2:22 p.m.