| svd {gpuR} | R Documentation |
Singular Value Decomposition of a gpuR matrix
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
xu 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
[Package gpuR version 2.0.6 Index]