tEIGdst: Tensor Eigenvalue Decomposition Using the Discrete Sine...

In rTensor2: MultiLinear Algebra

Tensor Eigenvalue Decomposition Using the Discrete Sine Transform

Description

Performs a Eigenvalue decomposition of 3-mode tensor using the discrete Sine transform.

Usage

tEIGdst(tnsr)

Arguments

tnsr	: a 3-mode tensor

Value

a Tensor-class object

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

P: A tensor of Eigenvectors (n x n x k)

D: An diagonal tensor of Eigenvalues (n x n x k)

Author(s)

Kyle Caudle [e-mail]

Examples

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

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