tQRdwt: Tensor QR Decomposition Using the Discrete Wavelet Transform
In rTensor2: MultiLinear Algebra
tQRdwt R Documentation
Tensor QR Decomposition Using the Discrete Wavelet Transform
Description
Performs a QR decomposition of 3-mode tensor using the discrete wavelet transform.
Usage
tQRdwt(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: An orthogonal tensor (n x n x k).
R: An upper triangular tensor (n x n x k)
Author(s)
Kyle Caudle
Randy Hoover
Jackson Cates
Examples
T <- rand_tensor(modes=c(2,2,4))
print(tQRdwt(T))
rTensor2 documentation built on May 29, 2024, 8:34 a.m.
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| tQRdwt | R Documentation |
Tensor QR Decomposition Using the Discrete Wavelet Transform
Description
Performs a QR decomposition of 3-mode tensor using the discrete wavelet transform.
Usage
tQRdwt(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: An orthogonal tensor (n x n x k).
R: An upper triangular tensor (n x n x k)
Author(s)
Kyle Caudle
Randy Hoover
Jackson Cates
Examples
T <- rand_tensor(modes=c(2,2,4))
print(tQRdwt(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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