83 lines
2.3 KiB
R
83 lines
2.3 KiB
R
#' Draws a sample from the invariant measure on the Stiefel manifold \eqn{S(p, q)}.
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#'
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#' @param p row dimension
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#' @param q col dimension
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#' @return \code{p} times \code{q} semi-orthogonal matrix.
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#' @examples
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#' V <- rStiefel(6, 4)
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#' @export
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rStiefl <- function(p, q) {
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return(qr.Q(qr(matrix(rnorm(p * q, 0, 1), p, q))))
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}
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#' Retraction to the manifold.
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#'
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#' @param A matrix.
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#' @return `(p, q)` semi-orthogonal matrix, aka element of the Stiefl manifold.
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#' @keywords internal
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#' @export
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retractStiefl <- function(A) {
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return(qr.Q(qr(A)))
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}
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#' Skew-Symmetric matrix computed from `A` as
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#' \eqn{1/2 (A - A^T)}.
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#' @param A Matrix of dim `(p, q)`
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#' @return Skew-Symmetric matrix of dim `(p, p)`.
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#' @keywords internal
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#' @export
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skew <- function(A) {
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0.5 * (A - t(A))
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}
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#' Symmetric matrix computed from `A` as
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#' \eqn{1/2 (A + A^T)}.
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#' @param A Matrix of dim `(p, q)`
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#' @return Symmetric matrix of dim `(p, p)`.
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#' @keywords internal
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#' @export
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sym <- function(A) {
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0.5 * (A + t(A))
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}
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#' Orthogonal Projection onto the tangent space of the stiefl manifold.
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#'
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#' @param V Point on the stiefl manifold.
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#' @param G matrix to be projected onto the tangent space at `V`.
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#' @return `(p, q)` matrix as element of the tangent space at `V`.
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#' @keywords internal
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#' @export
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projTangentStiefl <- function(V, G) {
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Q <- diag(1, nrow(V)) - V %*% t(V)
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return(Q %*% G + V %*% skew(t(V) %*% G))
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}
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#' Null space basis of given matrix `V`
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#'
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#' @param V `(p, q)` matrix
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#' @return Semi-orthogonal `(p, p - q)` matrix spaning the null space of `V`.
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#' @keywords internal
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#' @export
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null <- function(V) {
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tmp <- qr(V)
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set <- if(tmp$rank == 0L) seq_len(ncol(V)) else -seq_len(tmp$rank)
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return(qr.Q(tmp, complete = TRUE)[, set, drop = FALSE])
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}
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#' Creates a (numeric) matrix where each column contains
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#' an element to element matching.
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#' @param elements numeric vector of elements to match
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#' @return matrix of size `(2, n * (n - 1) / 2)` for a argument of lenght `n`.
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#' @keywords internal
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#' @examples
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#' elem.pairs(seq.int(2, 5))
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#' @export
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elem.pairs <- function(elements) {
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# Number of elements to match.
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n <- length(elements)
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# Create all combinations.
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pairs <- rbind(rep(elements, each=n), rep(elements, n))
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# Select unique combinations without self interaction.
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return(pairs[, pairs[1, ] < pairs[2, ]])
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}
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