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% Tensor Toolbox (Sandia National Labs)% Version 2.2 10-JAN-2007% % Tensor Toolbox for dense, sparse, and decomposed n-way arrays.% %   khatrirao - Khatri-Rao product of matrices.%   sptendiag - Creates a sparse tensor with v on the diagonal.%   sptenrand - Sparse uniformly distributed random tensor.%   tendiag   - Creates a tensor with v on the diagonal.%   tenones   - Ones tensor.%   tenrand   - Uniformly distributed pseudo-random tensor.%   tenzeros  - Zeros tensor.%% @TENSOR%   and        - Logical AND (&) for tensors.%   collapse   - Collapse tensor along specified dimensions.%   contract   - Contract tensor along two dimensions (array trace).%   ctranspose - is not defined for tensors.%   disp       - Command window display of a tensor.%   display    - Command window display of a tensor.%   double     - Convert tensor to double array.%   end        - Last index of indexing expression for tensor.%   eq         - Equal (==) for tensors.%   find       - Find subscripts of nonzero elements in a tensor.%   full       - Convert to a (dense) tensor.%   ge         - Greater than or equal (>=) for tensors.%   gt         - Greater than (>) for tensors.%   innerprod  - Efficient inner product with a tensor.%   isequal    - for tensors.%   ldivide    - Left array divide for tensor.%   le         - Less than or equal (<=) for tensor.%   lt         - Less than (<) for tensor.%   minus      - Binary subtraction (-) for tensors.%   mldivide   - Slash left division for tensors.%   mrdivide   - Slash right division for tensors.%   mtimes     - tensor-scalar multiplication.%   mttkrp     - Matricized tensor times Khatri-Rao product for tensor.%   ndims      - Return the number of dimensions of a tensor.%   ne         - Not equal (~=) for tensors.%   nnz        - Number of nonzeros for tensors. %   norm       - Frobenius norm of a tensor.%   not        - Logical NOT (~) for tensors.%   nvecs      - Compute the leading mode-n vectors for a tensor.%   or         - Logical OR (|) for tensors.%   permute    - Permute tensor dimensions.%   plus       - Binary addition (+) for tensors. %   power      - Elementwise power (.^) operator for a tensor.%   rdivide    - Right array divide for tensors.%   scale      - Scale along specified dimensions of tensor.%   size       - Tensor dimensions.%   squeeze    - Remove singleton dimensions from a tensor.%   subsasgn   - Subscripted assignment for a tensor.%   subsref    - Subscripted reference for tensors.%   tenfun     - Apply a function to each element in a tensor.%   tensor     - Create tensor.%   times      - Array multiplication for tensors.%   transpose  - is not defined on tensors.%   ttm        - Tensor times matrix.%   ttt        - Tensor mulitplication (tensor times tensor).%   ttv        - Tensor times vector.%   uminus     - Unary minus (-) for tensors.%   uplus      - Unary plus (+) for tensors.%   xor        - Logical EXCLUSIVE OR for tensors.%% @SPTENSOR%   and        - Logical AND (&) for sptensors.%   collapse   - Collapse sparse tensor along specified dimensions.%   contract   - Contract sparse tensor along two dimensions (array trace).%   ctranspose - is not defined for sparse tensors.%   disp       - Command window display of a sparse tensor.%   display    - Command window display of a sparse tensor.%   double     - Converts sparse tensor to a dense multidimensional array.%   elemfun    - Manipulate the nonzero elements of a sparse tensor.%   end        - Last index of indexing expression for sparse tensor.%   eq         - Equal (==) for sptensors.%   find       - Find subscripts of nonzero elements in a sparse tensor.%   full       - Convert a sparse tensor to a (dense) tensor.%   ge         - Greater than or equal for sptensors.%   gt         - Greater than for sptensors.%   innerprod  - Efficient inner product with a sparse tensor.%   isequal    - for sptensors.%   ldivide    - Array right division for sparse tensors.%   le         - Less than or equal for sptensors.%   lt         - Less than for sptensors.%   minus      - Binary subtraction for sparse tensors. %   mldivide   - Slash left division for sparse tensors.%   mrdivide   - Slash right division for sparse tensors.%   mtimes     - sptensor-scalar multiplication.%   mttkrp     - Matricized tensor times Khatri-Rao product for sparse tensor.%   ndims      - Number of dimensions of a sparse tensor.%   ne         - Not equal (~=) for sptensors.%   nnz        - Number of nonzeros in sparse tensor.%   norm       - Frobenius norm of a sparse tensor.%   not        - Logical NOT (~) for sptensors.%   nvecs      - Compute the leading mode-n vectors for a sparse tensor.%   ones       - Replace nonzero elements of sparse tensor with ones.%   or         - Logical OR (|) for sptensors.%   permute    - Rearrange the dimensions of a sparse tensor.%   plus       - Binary addition for sparse tensors. %   rdivide    - Array right division for sparse tensors.%   scale      - Scale along specified dimensions for sparse tensors.%   size       - Sparse tensor dimensions.%   sptensor   - Create a sparse tensor.%   squeeze    - Remove singleton dimensions from a sparse tensor.%   subsasgn   - Subscripted assignment for sparse tensor.%   subsref    - Subscripted reference for a sparse tensor.%   times      - Array multiplication for sparse tensors.%   transpose  - is not defined on sparse tensors.%   ttm        - Sparse tensor times matrix.%   ttt        - Sparse tensor times sparse tensor.%   ttv        - Sparse tensor times vector.%   uminus     - Unary minus (-) for sptensor.%   uplus      - Unary plus (+) for sptensor.%   xor        - Logical XOR for sptensors.%% @TTENSOR%   disp      - Command window display of a ttensor.%   display   - Command window display of a ttensor.%   double    - Convert ttensor to double array.%   end       - Last index of indexing expression for ttensor.%   full      - Convert a ttensor to a (dense) tensor.%   innerprod - Efficient inner product with a ttensor.%   mtimes    - Implement scalar multiplication for a ttensor.%   mttkrp    - Matricized tensor times Khatri-Rao product for ttensor.%   ndims     - Return the number of dimensions for a ttensor.%   norm      - Norm of a ttensor.%   nvecs     - Compute the leading mode-n vectors for a ttensor.%   permute   - Permute dimensions for a ttensor.%   size      - Size of a ttensor.%   subsasgn  - Subscripted reference for a ttensor.%   subsref   - Subscripted reference for a ttensor.%   ttensor   - Tensor stored as a Tucker operator (decomposed).%   ttm       - Tensor times matrix for ttensor.%   ttv       - Tensor times vector for ttensor.%   uminus    - Unary minus for ttensor.%   uplus     - Unary plus for ttensor.%% @KTENSOR%   arrange   - Arranges the rank-1 terms of a ktensor.%   datadisp  - Special display of a ktensor.%   disp      - Command window display for a ktensor.%   display   - Command window display for a ktensor.%   double    - Convert a ktensor to a double array.%   end       - Last index of indexing expression for ktensor.%   fixsigns  - Fix sign ambiguity of a ktensor.%   full      - Convert a ktensor to a (dense) tensor.%   innerprod - Efficient inner product with a ktensor.%   ktensor   - Tensor stored as a Kruskal operator (decomposed).%   minus     - Binary subtraction for ktensor.  %   mtimes    - Implement A*B (scalar multiply) for ktensor.%   mttkrp    - Matricized tensor times Khatri-Rao product for ktensor.%   ndims     - Number of dimensions for a ktensor.%   norm      - Frobenius norm of a ktensor.%   nvecs     - Compute the leading mode-n vectors for a ktensor.%   permute   - Permute dimensions of a ktensor.%   plus      - Binary addition for ktensor.%   size      - Size of ktensor.%   subsasgn  - Subscripted assignement for ktensor.%   subsref   - Subscripted reference for a ktensor.%   times     - Element-wise multiplication for ktensor.%   ttm       - Tensor times matrix for ktensor.%   ttv       - Tensor times vector for ktensor.%   uminus    - Unary minus for ktensor. %   uplus     - Unary plus for a ktensor. %% @TENMAT%   ctranspose - Complex conjugate transpose for tenmat.%   disp       - Command window display of a matricized tensor (tenmat).%   display    - Command window display of a tenmat.%   double     - Convert tenmat to double array.%   end        - Last index of indexing expression for tenmat.%   minus      - Binary subtraction (-) for tenmat.%   mtimes     - Multiplies two tenmat objects.%   norm       - Frobenius norm of a tenmat.%   plus       - Binary addition (+) for tenmat. %   size       - Size of tenmat.%   subsasgn   - Subscripted assignment for tenmat.  %   subsref    - Subscripted reference for tenmat.%   tenmat     - Create a matricized tensor.%   tsize      - Tensor size of tenmat.%   uminus     - Unary minus (-) for tenmat.%   uplus      - Unary plus (+) for tenmat.%% @SPTENMAT%   aatx     - Implicitly compute A * A' * x for sptenmat.%   disp     - Command window display of a sptenmat.%   display  - Command window display of a sptenmat.%   double   - Convert a sptenmat to a sparse matrix.%   end      - Last index of indexing expression for sptenmat.%   full     - Convert a sptenmat to a (dense) tenmat.%   nnz      - Return number of nonzeros in a sptenmat.%   norm     - Frobenius norm of a sptenmat.%   size     - Return size of sptenmat.%   sptenmat - Matricized sparse tensor stored as a sparse 2D array.%   subsasgn - Subscripted assignment for sptenmat.  %   subsref  - Subscripted reference for a sptenmat.%   tsize    - Tensor size of sptenmat.%   uminus   - Unary minus (-) for sptenmat.%   uplus    - Unary plus (+) for sptenmat.%% ALGORITHMS%   parafac_als - Compute a PARAFAC decomposition of any type of tensor.%   tucker_als  - Higher-order orthogonal iteration.

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