norm.tensor {tensorA} | 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. |
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 dim(X)[by] giving the
Euclidean operator norm of the tensor (i.e. its largest singular
value)
|
K. Gerald van den Boogaart
C <- to.tensor(1:20,c(A=4,B=5)) norm(C,"A") norm(C,2) norm(C,c("A","B")) opnorm(C,"A")