matvec-methods: Tensor Matvec Unfolding
In rTensor: Tools for Tensor Analysis and Decomposition
Description
Usage
Arguments
Details
Value
References
See Also
Examples
Description
For 3-tensors only. Stacks the slices along the third mode. This is the prevalent unfolding for T-SVD and T-MULT based on block circulant matrices.
Usage
1
2
3
4
Arguments
tnsr
the Tensor instance
Details
matvec(tnsr)
Value
matrix with prod(x@modes[-m]) rows and x@modes[m] columns
References
M. Kilmer, K. Braman, N. Hao, and R. Hoover, "Third-order tensors as operators on matrices: a theoretical and computational framework with applications in imaging". SIAM Journal on Matrix Analysis and Applications 2013.
See Also
k_unfold-methods and unfold-methods
Examples
1
2
tnsr <- rand_tensor(c(2,3,4))
matT1<- matvec(tnsr)
rTensor documentation built on May 15, 2021, 9:06 a.m.
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Description Usage Arguments Details Value References See Also Examples
Description
For 3-tensors only. Stacks the slices along the third mode. This is the prevalent unfolding for T-SVD and T-MULT based on block circulant matrices.
Usage
1 2 3 4 |
Arguments
tnsr |
the Tensor instance |
Details
matvec(tnsr)
Value
matrix with prod(x@modes[-m]) rows and x@modes[m] columns
References
M. Kilmer, K. Braman, N. Hao, and R. Hoover, "Third-order tensors as operators on matrices: a theoretical and computational framework with applications in imaging". SIAM Journal on Matrix Analysis and Applications 2013.
See Also
k_unfold-methods and unfold-methods
Examples
1 2 | tnsr <- rand_tensor(c(2,3,4))
matT1<- matvec(tnsr)
|
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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