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rTensor2 (version 2.0.0)

tEIGdwht: Tensor Eigenvalue Decomposition Using the Discrete Walsh-Hadamard Transform

Description

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

Usage

tEIGdwht(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

Run this code
T <- rand_tensor(modes=c(2,2,4))
print(tEIGdwht(T))

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