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
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
[Package gpuR version 2.0.6 Index]