tmult: Tensor Multiplication Using Any Discrete Transform
In rTensor2: MultiLinear Algebra
tmult R Documentation
Tensor Multiplication Using Any Discrete Transform
Description
Multiplies two 3-mode tensors using any discrete transform.
Usage
tmult(x,y,tform)
Arguments
x
: a 3-mode tensor
y
: a 3-mode tensor
tform
: Any discrete transform. Supported transforms are:
fft: Fast Fourier Transform
dwt: Discrete Wavelet Transform (Haar Wavelet)
dct: Discrete Cosine transform
dst: Discrete Sine transform
dht: Discrete Hadley transform
dwht: Discrete Walsh-Hadamard transform
Value
a Tensor-class object
Author(s)
Kyle Caudle
Randy Hoover
Jackson Cates
Examples
T1 <- rand_tensor(modes=c(2,2,4))
T2 <- rand_tensor(modes=c(2,3,4))
print(tmult(T1,T2,"dst"))
rTensor2 documentation built on May 29, 2024, 8:34 a.m.
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| tmult | R Documentation |
Tensor Multiplication Using Any Discrete Transform
Description
Multiplies two 3-mode tensors using any discrete transform.
Usage
tmult(x,y,tform)
Arguments
x |
: a 3-mode tensor |
y |
: a 3-mode tensor |
tform |
: Any discrete transform. Supported transforms are: fft: Fast Fourier Transform dwt: Discrete Wavelet Transform (Haar Wavelet) dct: Discrete Cosine transform dst: Discrete Sine transform dht: Discrete Hadley transform dwht: Discrete Walsh-Hadamard transform |
Value
a Tensor-class object
Author(s)
Kyle Caudle
Randy Hoover
Jackson Cates
Examples
T1 <- rand_tensor(modes=c(2,2,4))
T2 <- rand_tensor(modes=c(2,3,4))
print(tmult(T1,T2,"dst"))
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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