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TensorTools (version 1.0.0)

tEIGdht: Eigenvalue decomposition of 3-mode tensor using the discrete Hadley transform.

Description

Eigenvalue decomposition of 3-mode tensor using the discrete Hadley transform.

Usage

tEIGdht(tnsr)

Value

P, tensor of Eigenvectors (\(n\) x \(n\) x \(k\))

D, diagonal tensor of Eigenvalues (\(n\) x \(n\) x \(k\))

Arguments

tnsr,

a 3-mode S3 tensor class object (\(n\) x \(n\) x \(k\))

Author

Kyle Caudle

Randy Hoover

Jackson Cates

Everett Sandbo

References

K. Braman, "Third-order tensors as linear operators on a space of matrices", Linear Algebra and its Applications, vol. 433, no. 7, pp. 1241-1253, 2010.

Examples

Run this code
T <- t_rand(modes=c(2,2,4))
print(tEIGdht(T))

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