Description Usage Arguments Details Value Author(s) See Also Examples

Adds/subs/multiplies/devides tensors element by element .
The luxury difference to a simple `+`

is that we
do not need to consider the correct permutation of indices or rules
on implicit replication, since all of this is handled automatically.

1 2 3 4 5 6 | ```
add.tensor(X,Y,op="+",only=NULL)
## Methods for class tensor
# x + y
# x - y
# x * y
# x - y
``` |

`X` |
a tensor |

`Y` |
a tensor |

`op` |
a binary function used to perform the "addition" |

`only` |
a list of dimnames that may be considered as equal. This parameter is here to allow parallelization of tensors with only partially known structure. |

The tensors are properly reordered such that dimensions of the same name are identified. If dimensions are missing in one of the tensors it is correspondingly repeated.

A tensor giving the element-wise operation X,Y. If some of the indices are missing in one of the tensors they are added by repetition.

K. Gerald van den Boogaart

1 2 3 4 5 6 | ```
A <- to.tensor(1:20,c(U=2,V=2,W=5))
add.tensor(A,A)/2 -A
(A+A)/2
A/A
A * 1/A
norm.tensor(reorder.tensor(A,c(2,3,1)) - A)
``` |

tensorA documentation built on July 29, 2018, 5:01 p.m.

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