代码搜索：Tensor
找到约 495 项符合「Tensor」的源代码
代码结果 495
www.eeworm.com/read/489040/6481869
m compute_stick_tf.m
function T = compute_stick_tf(v,N,n,sigma,c)
% compute_stick_tf - compute the voting kernel of a stick tensor.
%
% T = compute_stick_tf(v,n,N,sigma,c);
%
% 'v' is the non-null eigenvector o
www.eeworm.com/read/489040/6481871
m perform_voting.m
function T = perform_voting(M,sigma,c,n,p,thresh)
% perform_voting - perform the voting process.
%
% T = perform_voting(M,sigma,c,n,p,thresh);
%
% 'M' is a tensor field created by the user.
www.eeworm.com/read/216898/14988159
cpp newet.cpp
#define BZ_NEW_EXPRESSION_TEMPLATES
#include "testsuite.h"
#include
BZ_USING_NAMESPACE(blitz)
double myFunction(double x)
{
return 1.0 / (1.0 + x);
}
BZ_DECLARE_FUNCTION(myFunc
www.eeworm.com/read/473001/6854026
cpp iter.cpp
#include "testsuite.h"
#include
BZ_USING_NAMESPACE(blitz)
void check(const Array& A, const Array& b)
{
int i = 0;
Array::const_iterator iter = A.
www.eeworm.com/read/237003/13984046
cpp newet.cpp
#define BZ_NEW_EXPRESSION_TEMPLATES
#include "testsuite.h"
#include
BZ_USING_NAMESPACE(blitz)
double myFunction(double x)
{
return 1.0 / (1.0 + x);
}
BZ_DECLARE_FUNCTION(myFunc
www.eeworm.com/read/205036/15328803
m mttkrp.m
function V = mttkrp(X,U,n)
%MTTKRP Matricized tensor times Khatri-Rao product for tensor.
%
% V = MTTKRP(X,U,n) efficiently calculates the matrix product of the
% n-mode matricization of X wit
www.eeworm.com/read/205036/15328890
m contract.m
function y = contract(x,i,j)
%CONTRACT Contract sparse tensor along two dimensions (array trace).
%
% Y = CONTRACT(X,I,J) contracts the entries of X along dimensions I
% and J. Contraction is a ge
www.eeworm.com/read/205036/15328896
m rdivide.m
function C = rdivide(A,B)
%RDIVIDE Array right division for sparse tensors.
%
% RDIVIDE(A,B) is called for the syntax 'A ./ B' when A or B is a sparse
% tensor. A and B must have the same size, un
www.eeworm.com/read/205036/15328955
m m2_identities_doc_future.m
%% Identities and relationships of tensors
% There are many mathematical relationships, identities, and
% connections among tensors. These identities are presented here and
% show the versatility
www.eeworm.com/read/205036/15329021
txt install.txt
To install the Tensor Toolbox for MATLAB:
1. Unpack the compressed file. In a linux environment, for example, this can
be done from the command line via:
unzip tensor_toolbox_2.2.zip