parBlockSVD: SVD using an incremental SVD algorithm.
In isglobal-brge/svdParallel: Parallel implementation of SVD

Description Usage Arguments Details Value Examples

SVD using an incremental SVD algorithm in parallel.

1	parBlockSVD(x, ncomponents = 2, mc.cores = 2, method = "svd")

`x`	a real nxp matrix
`ncomponents`	number of components to be computed. Default 2
`mc.cores`	number of partitions of the matrix, number of svd computed in parallel.
`method`	"svd" for complete svd, or "irlba" to compute only the first ncomponents.

Singular values and left singular vectors of a real nxp matrix.

a list of two components with the singular values and left singular vectors of the matrix

(V <- (matrix(1:30, nrow=5, ncol=6)))
blockSVD(V,k=2)
all.equal(blockSVD(V,k=2, method="svd")$u, base::svd(V)$u)
all.equal(blockSVD(V,k=2, method="irlba")$u, base::svd(V)$u[,1:2])