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/124802/14537194

c telafft.c

/* *This file is part of tela the Tensor Language. *Copyright(c)1994-1995 Pekka Janhunen */ /* fftpack.C : A set of FFT routines in C. Algorithmically based on Fortran-77 FFTPACK by Paul N
www.eeworm.com/read/237293/13969766

awk splitrayden.awk

# awk -script to split ray-density tensor output file from # velsort (raydenxx.xx.xyz) into class-files for plotting # # classes are a combination of ray distr.(=qual) # and total weighted ray length
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m collapse.m

function s = collapse(t,dims,fun) %COLLAPSE Collapse sparse tensor along specified dimensions. % % S = COLLAPSE(T,DIMS) sums the entries of T along all dimensions % specified in DIMS. If DIMS is neg
www.eeworm.com/read/305190/13777276

m khatri.m

function Y = khatri(A,B) %KHATRI Khatri-Rao product. % % KHATRI(X,Y) is the Khatri-Rao product of X and Y. The result is a large % matrix formed by taking Kronecker tensor products between th
www.eeworm.com/read/403190/2314100

svn-base test_anisotropic_feth.m.svn-base

% test for Fethalah code and Prados code n = 500; rep = 'results/anisotropic-feth/'; if not(exist(rep)) mkdir(rep); end %% compute random tensor field randn('seed', 12345); U = randn(n,n,2); sig
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m end.m

function e = end(X,k,n) %END Last index of indexing expression for tensor. % % The expression X(end,:,:) will call END(X,1,3) to determine % the value of the first index. % % See also TENS
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m end.m

function e = end(X,k,n) %END Last index of indexing expression for sparse tensor. % % The expression X(end,:,:) will call END(X,1,3) to determine % the value of the first index. % % See al
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m norm.m

function n = norm(T) %NORM Frobenius norm of a tenmat. % % NORM(X) returns the Frobenius norm of a tenmat. % % See also TENMAT. % %MATLAB Tensor Toolbox. %Copyright 2007, Sandia Corporation. % T
www.eeworm.com/read/205036/15328970

m mttkrp.m

function V = mttkrp(X,U,n) %MTTKRP Matricized tensor times Khatri-Rao product for ttensor. % % V = MTTKRP(X,U,n) efficiently calculates the matrix product of the % n-mode matricization of X with t
www.eeworm.com/read/205036/15328994

m mttkrp.m

function V = mttkrp(X,U,n) %MTTKRP Matricized tensor times Khatri-Rao product for ktensor. % % V = MTTKRP(X,U,n) efficiently calculates the matrix product of the % n-mode matricization of X wi