Reference

All functions

add.tensor()

Element-wise arithmetic operations +,-,*,/ with tensors

as.tensor()

Coercion to a tensor

bind.tensor()

A cbind/rbind for tensors

chol.tensor()

Cholesky decomposition of a tensor

delta.tensor()

Creates a Kronecker delta tensor

diagmul.tensor()

Multiplication of a tensor with a tensor given by its diagonal

diag.tensor()

Creates a "diagonal" tensor

drag.tensor() contraname() is.covariate() as.covariate() is.contravariate() as.contravariate()

Managing covariate and contravariate indices

einstein.tensor()

Tensor multiplication with Einstein's convention, by summing over all equally named indices.

ftable(<tensor>)

Pretty printing of tensors

inv.tensor()

Inversion of a tensor as linear mapping from tensors to tensors

is.tensor()

Checking for being a tensor

level.tensor()

The level (number of indices) of a tensor

margin.tensor()

Marginalization of tensors

mark()

Marks the names of a tensor with a mark

mean(<tensor>) var(<tensor>)

Mean and variance of tensors

mul.tensor()

Tensor multiplication for the tensor class

names(<tensor>) `names<-`(<tensor>) dimnames(<tensor>) `dimnames<-`(<tensor>) `dim<-`(<tensor>)

Getting and setting index and dimensionnames of a tensor

norm() opnorm()

Calculate the Euclidean norm or Euclidean operator norm of a tensor or its subtensors

one.tensor()

Creates a tensor with all entries 1

pos.tensor()

enumeration of index combinations

power.tensor()

Compute the power of a symmetric tensor

reorder(<tensor>)

Permutation of indices and storage sequence of a tensor

rep(<tensor>)

Repeats a tensor

riemann.tensor()

Tensor multiplication with Riemann's convention

renamefirst.tensor()

Working with index sequences

slice.tensor()

Working with the indices of a tensor (accessing, slicing, renaming, ...)

solve(<tensor>)

Solving linear equations with tensors

svd.tensor()

Singular value decomposition of tensors

tensorA-package tensor Tensor tensorA

The tensorA package for tensor arithmetic

toPos.tensor()

get the position of an index of tensor

to.matrix.tensor()

The matrix corresponding to a tensor seen as a linear mapping of tensors.

to.tensor()

Creates a tensor object

trace.tensor()

Collapse a tensor

tripledelta.tensor()

A tensor with entry 1 if and only if three indices are equal

undrop.tensor()

Adds a spurious dimension to a tensor

untensor()

Removes indices/dimensions from a tensor