Description Usage Arguments Value Examples
View source: R/projection_basis.R
It computes the projection of a set of functions on the kernel basis defined by a set of eigenvalues and eigenfunctions
1 | projection_basis(y, eigenvect, M_integ)
|
y |
matrix. |
eigenvect |
matrix. |
M_integ |
scalar, integer. Number of points of the domain D
of the functions ( |
J
\times N
matrix (Y) containing in position
(j,n) the integral of the product
of the eigenfunction v_j with the function y_n, i.e. the coefficient
correspondent to v_j of the projection of y_n on the kernel basis.
Y[i,j] = \int_{D} y_n(t) v_j(t) dt
1 2 3 4 5 6 | data(simulation)
data(SobolevKernel)
summary(T_domain)
M_integ <- length(T_domain)/diff(range(T_domain))
projection_basis(Y_full, eigenvect, M_integ ) # projection on the J dimensional
# basis of the Y functions.
|
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