Description Usage Arguments Details Value Author(s) References Examples

`mat`

returns a matrix version of a provided tensor.

1 | ```
mat(A, k)
``` |

`A` |
An array to be unfolded. |

`k` |
The mode, or dimension, along which the unfolding is to be applied. |

Applies the matrix unfolding operator (also called 'matricization' or 'matrix flattening' operator) on a provided tensor. There are multiple ways one could do this. This function performs the matrix unfolding described in Kolda and Bader (2009).

A matrix whose rows index the *k*th mode and whose columns
index every other mode. The ordering of the columns is in lexicographical
order of the indices of the array *A*.

Peter Hoff.

Kolda, T. G., & Bader, B. W. (2009).
Tensor
decompositions and applications. *SIAM review*, 51(3), 455-500.

1 2 3 4 |

dcgerard/tensr documentation built on May 15, 2019, 1:25 a.m.

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