Eventually this class will subclass Matrix
objects,
but for now this is a basic implementation that essentially
only supports singular value decomposition.
To learn more about S4 classes, please see https://adv-r.hadley.nz/s4.html.
sparse
sparseMatrix.
U
Matrix.
V
Matrix.
set.seed(528491) n <- 50 m <- 40 k <- 3 A <- rsparsematrix(n, m, 0.1) U <- Matrix(rnorm(n * k), nrow = n, ncol = k) V <- Matrix(rnorm(m * k), nrow = m, ncol = k) # construct the matrix, which represents A + U %*% t(V) X <- sparseLRMatrix(sparse = A, U = U, V = V) dim(X)#> [1] 50 40