rTensor2 (version 2.0.0)

tEIGfft: Tensor Eigenvalue Decomposition Using the Discrete Fourier Transform

Description

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

Usage

tEIGfft(tnsr)

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 \(k\))

Arguments

tnsr

: a 3-mode tensor

Author

Kyle Caudle

Randy Hoover

Jackson Cates

Examples

T <- rand_tensor(modes=c(2,2,4))
print(tEIGfft(T))