tQRdht: Tensor QR Decomposition Using the Discrete Hartley Transform
In rTensor2: MultiLinear Algebra
tQRdht R Documentation
Tensor QR Decomposition Using the Discrete Hartley Transform
Description
Performs a QR decomposition of 3-mode tensor using the discrete Hartley transform.
Usage
tQRdht(tnsr)
Arguments
tnsr
: a 3-mode tensor
Value
a Tensor-class object
If QR decomposition is performed on a n x n x k tensor, the components in the returned value are:
Q: The left singular value tensor object (n x n x k)
R: The right singular value 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(tQRdht(T))
rTensor2 documentation built on Aug. 14, 2022, 9:05 a.m.
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| tQRdht | R Documentation |
Tensor QR Decomposition Using the Discrete Hartley Transform
Description
Performs a QR decomposition of 3-mode tensor using the discrete Hartley transform.
Usage
tQRdht(tnsr)
Arguments
tnsr |
: a 3-mode tensor |
Value
a Tensor-class object
If QR decomposition is performed on a n x n x k tensor, the components in the returned value are:
Q: The left singular value tensor object (n x n x k)
R: The right singular value 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(tQRdht(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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