A is a matrix corresponding to a tensor of size 3 x 2 x 2 x 2Ī = tenmat(X,2, 'fc') %<- Forward cyclic, i.e. A is a matrix corresponding to a tensor of size 3 x 2 x 2 x 2Ī = tenmat(X,2,) %<- Explicit specification. A = tenmat(X,2) %<- By default, columns are ordered as. Different column orderings are available. Mode-n matricization means that only mode n is mapped to the rows. A = tenmat(X,1:4, 't') %<- Map all the dimensions to the columns A is a matrix corresponding to a tensor of size 3 x 2 x 2 x 2Īlternative ordering for the columns for mode-n matricization A is a matrix corresponding to a tensor of size 3 x 2 x 2 x 2Īll the dimensions can be mapped to the rows or the columnns. A = tenmat(X,, 't') %<- Same as A = tenmat(X,). The rows are arranged in increasing order. Likewise, just the columns can be specified if the 3rd argument is a 't'.

A = tenmat(X,1) %<- Same as A = tenmat(X,1,2:4) A is a matrix corresponding to a tensor of size 3 x 2 x 2 x 2Ĭreating a tenmat by specifying the dimensions mapped to the columns If just the row indices are specified, then the columns are arranged in increasing order. A is a matrix corresponding to a tensor of size 3 x 2 x 2 x 2Ī.rindices = (modes of tensor corresponding to rows)Ī.cindices = (modes of tensor corresponding to columns)ī = tenmat(X,) %<- Order matters! B is a matrix corresponding to a tensor of size 3 x 2 x 2 x 2ī.rindices = (modes of tensor corresponding to rows)ī.cindices = (modes of tensor corresponding to columns)Ĭ = tenmat(X,) %<- Order matters! C is a matrix corresponding to a tensor of size 3 x 2 x 2 x 2Ĭ.rindices = (modes of tensor corresponding to rows)Ĭ.cindices = (modes of tensor corresponding to columns)Ĭreating a tenmat by specifying the dimensions mapped to the rows X is a tensor of size 3 x 2 x 2 x 2Ī = tenmat(X,) %<- Dims map to rows, to columns.

Use size and tsize for the dimensions of a tenmatĬreating a tenmat (tensor as matrix) object X = tensor(1:24,) %<- Create a tensor.

Use tensor to convert a tenmat to a tensor.

Use double to convert a tenmat to a MATLAB matrix.

Creating a tenmat from its constituent parts.

Alternative ordering for the columns for mode-n matricization.

Creating a tenmat by specifying the dimensions mapped to the columns.

Creating a tenmat by specifying the dimensions mapped to the rows.Creating a tenmat (tensor as matrix) object.

Convert a vector into a matrix matlab