代码搜索:sparse

找到约 3,324 项符合「sparse」的源代码

代码结果 3,324
www.eeworm.com/read/150214/12304800

mod2convert-test-out

Creating sparse matrix. Converting from sparse to dense. Converting back to dense again. Testing for equality of two sparse matrices: OK. Converting to dense once again. Testing for equality of two d
www.eeworm.com/read/150214/12304826

html modules.html

Modules Used in LDPC Programs Modules Used in LDPC Programs You may need to familiarize yourself with the modules documented here in order t
www.eeworm.com/read/234163/14120180

m dyneit.m

function [rhoF,rhoS]=Dyneit(J,Uelmit,L,nump,Uellask,a1,a2,rho0,alpha,R,F); %Dyneit Estimates resistivity distributions by Kalman filter and Kalman smoother % Function [rhoF,rhoS]=Dyneit(J,Uelmit,
www.eeworm.com/read/234163/14120203

m femmatrixnode.m

function [Agrad,Kb,M,S,C]=FemMatrixNode(Node,Element,z); %FemMatrixNode Computes the blocks of the system matrix for 2D EIT with linear and quadratic basis. Conductivity in linear basis. % Functio
www.eeworm.com/read/234163/14120222

m femmatrix.m

function [Agrad,Kb,M,S,C]=FemMatrix(Node,Element,z); %FemMatrix Computes the blocks of the system matrix for 2D EIT with linear and quadratic basis % Function [Agrad,Kb,M,S,C]=FemMatrix(Node,Eleme
www.eeworm.com/read/234163/14120251

m hsfemmatrix.m

function [Agrad,Kb,M,S,C]=FemMatrix(Node,Element,z); %FemMatrix Computes the blocks of the system matrix for 2D EIT with linear and quadratic basis % Function [Agrad,Kb,M,S,C]=FemMatrix(Node,Element,
www.eeworm.com/read/233414/14154635

mod2convert-test-out

Creating sparse matrix. Converting from sparse to dense. Converting back to dense again. Testing for equality of two sparse matrices: OK. Converting to dense once again. Testing for equality of two d
www.eeworm.com/read/233414/14154659

html modules.html

Modules Used in LDPC Programs Modules Used in LDPC Programs You may need to familiarize yourself with the modules documented here in order t
www.eeworm.com/read/129636/14235024

m exm041523_1.m

n=5;SM1=sparse(1:n,1:n,-2*ones(1,n),n,n,n); SM2=sparse(2:n,1:n-1,ones(1,n-1),n,n,n-1);S1=SM1+SM2+SM2' e=ones(n,1);S2=spdiags([e,-2*e,e],[-1,0,1],n,n),SF=full(S1)
www.eeworm.com/read/227220/14436810

m demomfdigits.m

clear all, randn('seed',0), rand('seed',0), %profile on % set up data load digits.mat; X=X/max(max(X)); % set up MF ICA par.sources=25; % number of sources par.opti