tLUfft: Tensor LU Decomposition Using the Discrete Fourier Transform
In rTensor2: MultiLinear Algebra
tLUfft R Documentation
Tensor LU Decomposition Using the Discrete Fourier Transform
Description
Performs a LU decomposition of 3-mode tensor using the discrete Fourier transform.
Usage
tLUfft(tnsr)
Arguments
tnsr
: a 3-mode tensor
Value
a Tensor-class object
If LU decomposition is performed on a n x n x k tensor, the components in the returned value are:
L: The lower triangular tensor object (n x n x k)
U: The upper triangular tensor object (n x n x k)
Author(s)
Kyle Caudle kyle.caudle@sdsmt.edu
Examples
require(rTensor)
T <- rand_tensor(modes=c(2,2,4))
print(tLUfft(T))
rTensor2 documentation built on Aug. 14, 2022, 9:05 a.m.
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| tLUfft | R Documentation |
Tensor LU Decomposition Using the Discrete Fourier Transform
Description
Performs a LU decomposition of 3-mode tensor using the discrete Fourier transform.
Usage
tLUfft(tnsr)
Arguments
tnsr |
: a 3-mode tensor |
Value
a Tensor-class object
If LU decomposition is performed on a n x n x k tensor, the components in the returned value are:
L: The lower triangular tensor object (n x n x k)
U: The upper triangular tensor object (n x n x k)
Author(s)
Kyle Caudle kyle.caudle@sdsmt.edu
Examples
require(rTensor) T <- rand_tensor(modes=c(2,2,4)) print(tLUfft(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.
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