tSVDdst: Tensor Singular Value Decomposition Using the Discrete Sine...

In rTensor2: MultiLinear Algebra

Tensor Singular Value Decomposition Using the Discrete Sine Transform

Description

Performs a tensor singular value decomposition on any 3-mode tensor using the discrete Sine transform.

Usage

tSVDdst(tnsr)

Arguments

tnsr	: a 3-mode tensor

Value

a Tensor-class object

If the SVD is performed on a m x n x k tensor, the components in the returned value are:

U: The left singular value tensor object (m x m x k)

V: The right singular value tensor object (n x n x k)

S: A diagonal tensor (m x n x k)

Author(s)

Kyle Caudle [e-mail]

Examples

require(rTensor)
T <- rand_tensor(modes=c(2,3,4))
print(tSVDdst(T))

rTensor2 documentation built on Aug. 14, 2022, 9:05 a.m.