tSVDdht: Tensor Singular Value Decomposition Using the Discrete Harley...
In rTensor2: MultiLinear Algebra
tSVDdht R Documentation
Tensor Singular Value Decomposition Using the Discrete Harley Transform
Description
Performs a tensor singular value decomposition on any 3-mode tensor using the discrete Harley transform.
Usage
tSVDdht(tnsr)
Arguments
tnsr
: a 3-mode tensor
Value
a Tensor-class object
If the SVD is performed on a m x n x k tensor, the components in the returned value are:
U: The left singular value tensor object (m x m x k)
V: The right singular value tensor object (n x n x k)
S: A diagonal tensor (m x n x k)
Author(s)
Kyle Caudle
Randy Hoover
Jackson Cates
Examples
T <- rand_tensor(modes=c(2,3,4))
print(tSVDdht(T))
rTensor2 documentation built on May 29, 2024, 8:34 a.m.
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| tSVDdht | R Documentation |
Tensor Singular Value Decomposition Using the Discrete Harley Transform
Description
Performs a tensor singular value decomposition on any 3-mode tensor using the discrete Harley transform.
Usage
tSVDdht(tnsr)
Arguments
tnsr |
: a 3-mode tensor |
Value
a Tensor-class object
If the SVD is performed on a m x n x k tensor, the components in the returned value are:
U: The left singular value tensor object (m x m x k)
V: The right singular value tensor object (n x n x k)
S: A diagonal tensor (m x n x k)
Author(s)
Kyle Caudle
Randy Hoover
Jackson Cates
Examples
T <- rand_tensor(modes=c(2,3,4))
print(tSVDdht(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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