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#' Creates a phi x phi grid (i.e., the mesh on a single two-dimensional face of a larger hypercube) of d-dimensional points, where the regularity of the grid has been adjusted to avoid clustering in the corners.
#'
#' @param d The number of dimensions for the unit spheroid
#' @param phi Fineness of the mesh along each dimension of the 2D face
#' @return A phi x phi x d array of points. The points (each facemesh2D(i,j,:)) are identically equal to one in the first d-2 dimensions, so that the mesh varies only in the final two dimensions.
#' @import pracma
fill_adj_2Dface <- function(d,phi){
facemesh2D <- array(0, dim=c(phi, phi, d))
# perim holds an example of the points along one of the four edges
# of the square face. There are phi points along each edge.
# Since the four edges are symmetrical, we only need to calculate
# one edge example.
perim = array(1,dim=c(phi, d))
z_one <- perim[1,]
z_phi <- perim[phi,]
for (p in 2:(phi-1)){
beta <- fill_adj_2Dface_beta(p, phi, z_one, z_phi)
perim[p,] <- beta%*%z_one + (1-beta)%*%z_phi
}
# Interpolating from the edge points in perim to get the interior points of each row/column:
for (i in 1:phi){
z_one <- array(1,dim=c(1,d))
z_phi <- array(1,dim=c(1,d))
z_one[1,d] <- -1
z_one[1,d-1] <- perim[i,d]
z_phi[1,d-1] <- perim[i,d]
for (j in 1:phi){
beta <- fill_adj_2Dface_beta(j, phi, z_one, z_phi)
facemesh2D[i,j,] = beta%*%z_one + (1-beta)%*%z_phi
}
}
# Now set the rows to achieve symmetry with the columns:
for (i in 1:phi){
for (j in 1:phi){
facemesh2D[j,i,d-1] <- facemesh2D[i,j,d]
}
}
return(facemesh2D)
}
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