svd-methods: Singular Value Decomposition of a gpuR matrix

In cdeterman/gpuR: GPU Functions for R Objects

Description

Compute the singular-value decomposition of a gpuR matrix

Usage

svd(x, nu, nv, LINPACK)

## S3 method for class 'vclMatrix'
svd(x, nu, nv, LINPACK)

## S3 method for class 'gpuMatrix'
svd(x, nu, nv, LINPACK)

Arguments

x	A gpuR matrix
nu	ignored
nv	ignored
LINPACK	ignored

Value

The SVD decomposition of the matrix. The returned value is a list with the following components:

• d a vector containing the singular values of x

• u a matrix whose columns contain the left singular vectors of x.

• v a matrix whose columns contain the right singular vectors of x.

Note

This an S3 generic of svd. The default continues to point to the default base function.

Author(s)

Charles Determan Jr.

See Also

svd

cdeterman/gpuR documentation built on July 13, 2019, 3:15 a.m.