代码搜索：Tensor
找到约 495 项符合「Tensor」的源代码
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m innerprod.m
function res = innerprod(X,Y)
%INNERPROD Efficient inner product with a tensor.
%
% R = INNERPROD(X,Y) efficiently computes the inner product between
% two tensors X and Y. If Y is a tensor, then
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m permute.m
function T = permute(T,order)
%PERMUTE Permute tensor dimensions.
%
% B = PERMUTE(A,ORDER) rearranges the dimensions of A so that they
% are in the order specified by the vector ORDER. The result
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m size.m
function m = size(t,idx)
%SIZE Tensor dimensions.
%
% D = SIZE(T) returns the sizes of each dimension of tensor X in a
% vector D with ndims(X) elements.
%
% I = size(T,DIM) returns the size o
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m tsize.m
function sz = tsize(a,idx)
%TSIZE Tensor size of sptenmat.
%
% D = TSIZE(X) returns the size of the tensor being stored as a
% matrix.
%
% M = TSIZE(X,DIM) returns the length of the dimension(
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m full.m
function B = full(A)
%FULL Convert a sparse tensor to a (dense) tensor.
%
% B = FULL(A) converts a sptensor A to a (dense) tensor B.
%
% See also SPTENSOR, TENSOR.
%
%MATLAB Tensor Toolbox.
%Copyr
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m contents.m
% @SPTENSOR
%
% Files
% and - Logical AND (&) for sptensors.
% collapse - Collapse sparse tensor along specified dimensions.
% contract - Contract sparse tensor along two dimensions (
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m contents.m
% 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 -
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m contents.m
% @TENMAT
%
% Files
% ctranspose - Complex conjugate transpose for tenmat.
% disp - Command window display of a matricized tensor (tenmat).
% display - Command window display of a tenma
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m tsize.m
function sz = tsize(a,idx)
%TSIZE Tensor size of tenmat.
%
% D = TSIZE(X) returns the size of the tensor being stored as a
% matrix.
%
% M = TSIZE(X,DIM) returns the length of the dimension(s)
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m disp.m
function disp(t,name)
%DISP Command window display of a matricized tensor (tenmat).
%
% DISP(T) displays a tensor as matrix with no name.
%
% DISP(T,NAME) display a tensor as matrix with the given