代码搜索:Tensor
找到约 495 项符合「Tensor」的源代码
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www.eeworm.com/read/205036/15329012
txt release_notes.txt
Tensor Toolbox version 2.2 by Brett W. Bader and Tamara G. Kolda.
Copyright 2007, Sandia National Laboratories.
============================================
Changes from Version 2.1 (December 1, 2006
www.eeworm.com/read/434222/7880150
m mpca.m
function [tUs, odrIdx, TXmean, Wgt] = MPCA(TX,gndTX,testQ,maxK)
% MPCA: Multilinear Principle Component Analysis
%
% %[Prototype]%
% function [tUs, odrIdx, TXmean, Wgt] = MPCA(TX,gndTX,testQ,max
www.eeworm.com/read/434222/7880158
m mpcalda.m
function [tUs,odrIdx,TXmean,Wgt,LDAU] = MPCALDA(TX,gndTX,MPCADADim,testQ,maxK)
% MPCA+LDA: Multilinear Principle Component Analysis plus Linear
% Discriminant Analysis
%
% %[Prototype]%
% functio
www.eeworm.com/read/205036/15328795
m ttt.m
function c = ttt(varargin)
%TTT Tensor mulitplication (tensor times tensor).
%
% TTT(X,Y) computes the outer product of tensors X and Y.
%
% TTT(X,Y,XDIMS,YDIMS) computes the contracted product o
www.eeworm.com/read/205036/15328848
txt license.txt
Restricted Software License Agreement
Sandia Corporation ("SANDIA"), under its Contract No. DE-AC04-94AL85000
with the United States Department of Energy for the management and
operation of the
www.eeworm.com/read/205036/15328931
m a2_sptensor_doc.m
%% Sparse Tensors
% MATLAB has no native ability to store sparse multidimensional arrays,
% only sparse matrices. Moreover, the compressed sparse column storage
% format for MATLAB sparse matrices
www.eeworm.com/read/222893/14668494
c transform.c
/*
* FUNCTION
* otr = transform(itr,tmx)
*
* DESCRIPTION
* transform 3D-tensor (Euclidean or Cartesion tensor) of any order (>0) to another coordinate system
*
* PARAMETERS
* otr = out
www.eeworm.com/read/205036/15328780
m sptendiag.m
function X = sptendiag(v,sz)
%SPTENDIAG Creates a sparse tensor with v on the diagonal.
%
% SPTENDIAG(V) creates a sparse tensor with N dimensions, each of
% size N, where N is the number of e
www.eeworm.com/read/205036/15328782
m ndims.m
function n = ndims(t)
%NDIMS Return the number of dimensions of a tensor.
%
% NDIMS(X) returns the number of dimensions of tensor X.
%
% Examples
% A = rand(4,3,1); ndims(A) %