代码搜索：sparse
找到约 3,324 项符合「sparse」的源代码
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www.eeworm.com/read/135534/13922985
tmd2
- Introduction
tms2: sparse svd via trace minimization using A'A eigensystems.
tms2.c is an ANSI-C code designed to find several of the largest
eigenvalues and eigenvectors of a r
www.eeworm.com/read/205036/15328899
m allsubs.m
function s = allsubs(x)
%ALLSUBS Generate all possible subscripts for a sparse tensor X.
%
% See also SPTENSOR.
%
%MATLAB Tensor Toolbox.
%Copyright 2007, Sandia Corporation.
% This is the MATLAB
www.eeworm.com/read/201477/15407417
h term.h
#ifndef Term_
#define Term_
template class SparseMatrix;
template
class Term {
friend SparseMatrix;
friend ostream& operator
www.eeworm.com/read/284782/8898743
m f2_sarpanel.m
function llike = f2_sarpanel(parm,y,x,W,detval,T)
% PURPOSE: evaluates log-likelihood -- given ML estimates
% spatial panel autoregressive model using sparse matrix algorithms
% ------------------
www.eeworm.com/read/284782/8898780
m f2_sempanel.m
function llike = f2_sempanel(parm,y,x,W,detval,T)
% PURPOSE: evaluates log-likelihood -- given ML parameters
% spatial panel error model using sparse matrix algorithms
% --------------------------
www.eeworm.com/read/382927/8990200
m f2_sarpanel.m
function llike = f2_sarpanel(parm,y,x,W,detval,T)
% PURPOSE: evaluates log-likelihood -- given ML estimates
% spatial panel autoregressive model using sparse matrix algorithms
% ------------------
www.eeworm.com/read/382927/8990235
m f2_sempanel.m
function llike = f2_sempanel(parm,y,x,W,detval,T)
% PURPOSE: evaluates log-likelihood -- given ML parameters
% spatial panel error model using sparse matrix algorithms
% --------------------------
www.eeworm.com/read/184067/9123741
m dep.m
function [A,b] = dep(A,tol,b);
%DEP Remove dependent rows from the sparse system Ax = b.
%
% [A,b] = DEP(A,tol,b) by repeatedly applying lu-factorization
% to A', where A has more cols
www.eeworm.com/read/372507/9507250
cpp smatrix.cpp
// test formula based sparse matrix class
#include
#include "smatrix.h"
void main(void)
{
SparseMatrix A(20), B(20), C(20);
cin >> A;
cout
www.eeworm.com/read/372507/9507251
cpp lsmatrix.cpp
// test linked sparse matrix class
#include
#include "lsmatrix.h"
void main(void)
{
int a[][] = new int[3][4];
LinkedMatrix A, B, C;
cin >> A;
cout