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/309828/3703649
m sparfull.m
n=1000;
b=[1:n]';
a1=sparse(1:n,1:n,1,n,n);
a2=sparse(2:n,1:n-1,1,n,n);
a=a1+a2+a2';
tic;
x=a\b;
t1=toc;
aa=full(a);
tic;
xx=aa\b;
t2=toc;
y=sum(x);
yy=sum(xx);
tic;
eig(a);
t3=toc
ti
www.eeworm.com/read/359766/2972157
m sparfull.m
n=1000;
b=[1:n]';
a1=sparse(1:n,1:n,1,n,n);
a2=sparse(2:n,1:n-1,1,n,n);
a=a1+a2+a2';
tic;
x=a\b;
t1=toc;
aa=full(a);
tic;
xx=aa\b;
t2=toc;
y=sum(x);
yy=sum(xx);
tic;
eig(a);
t3=toc
ti
www.eeworm.com/read/180486/9305372
m ldpcbase.m
function h = ldpcbase(H)
%LDPCBASE Construct an LDPC base object.
%
% Inputs:
% H - Parity check matrix (sparse matrix)
% Copyright 1996-2005 The MathWorks, Inc.
% $Revision: 1.1.6.1
www.eeworm.com/read/373012/9479433
par solver.par
/*
Matrix_Format (Integer):
- 1 Sparse
- 2 Full
- default : 1
Matrix_Printing (Integer): Disk write ('fort.*')
- 1 matrix (csr)
- 2 preconditioner (msr)
- 3 both
www.eeworm.com/read/361001/10069740
correct control1.correct
>> load control1.mat
>> whos
Name Size Bytes Class
At 125x21 8488 double array (sparse)
K 1x1 140 struct array
a
www.eeworm.com/read/272848/10941127
h sparsematrix.h
// sparse matrix using an extended array list
#ifndef sparseMatrix_
#define sparseMatrix_
#include
#include "matrixTerm.h"
#include "extendedArrayList.h"
#include "myExceptions.h"
www.eeworm.com/read/416329/11032548
m qtreergbdecode.m
% % Decode QuadTree date that is decomposed (encode) by qt3ddecom method
% % Input
% % S: the quadtree structure in the sparse matrix S. If S(k,m) is
% % nonzero, then (k,m) is the upper left
www.eeworm.com/read/461210/7231724
m qtreergbdecode.m
% % Decode QuadTree date that is decomposed (encode) by qt3ddecom method
% % Input
% % S: the quadtree structure in the sparse matrix S. If S(k,m) is
% % nonzero, then (k,m) is the upper left
www.eeworm.com/read/449504/7502810
m f2_sem.m
function llike = f2_sem(parm,y,x,W,detval);
% PURPOSE: evaluates log-likelihood -- given ML parameters
% spatial error model using sparse matrix algorithms
% --------------------------------------
www.eeworm.com/read/449504/7502912
m f_far.m
function llike = f_far(rho,y,W,detval)
% PURPOSE: evaluate the concentrated log-likelihood
% 1st order spatial autoregressive model using sparse matrix algorithms
% ------------------------------