tEIGfft: Tensor Eigenvalue Decomposition Using the Discrete Fourier...
In rTensor2: MultiLinear Algebra
tEIGfft R Documentation
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)
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
Randy Hoover
Jackson Cates
Examples
T <- rand_tensor(modes=c(2,2,4))
print(tEIGfft(T))
rTensor2 documentation built on May 29, 2024, 8:34 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| tEIGfft | R Documentation |
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)
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
Randy Hoover
Jackson Cates
Examples
T <- rand_tensor(modes=c(2,2,4))
print(tEIGfft(T))
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.