norm.tensor | R Documentation |
Calculates the Euclidean norm of a tensor or its subtensors.
norm(X,...)
## S3 method for class 'tensor'
norm(X,i=NULL,...,by=NULL)
opnorm(X,...)
## S3 method for class 'tensor'
opnorm(X,i=NULL,...,by=NULL)
X |
The tensor |
i |
For norm the dimensions to of the subtensors to be used. If missing the norm of the whole tensor is computed. For opnorm the dimensions of the image. |
... |
unused |
by |
the list dimension, if i is not specified the norm is calculated for each of these in parallel. |
The function computes the Euclidean norm, which is the square root over the sum of all entries and not the operator norm.
The function computes the Euclidean operator norm, which is largest factor in changing the Euclidean norm, when mapped with the linear mapping corresponding to the tensor.
norm |
either a single number giving the norm of the tensor or a tensors with the dimensions i removed containing the individual norms in each entry. |
opnorm |
a tensor of dimension |
K. Gerald van den Boogaart
to.tensor
C <- to.tensor(1:20,c(A=4,B=5))
norm(C,"A")
norm(C,2)
norm(C,c("A","B"))
opnorm(C,"A")
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