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/461210/7231714
m drawquadblocks.m
% % draw square quad blocks of quadtree in eight basic colors.
% % S: Sparse matrix that holds quadtree information
function drawquadblocks(S)
mycol = strvcat('r','y','g','c','b','m','k','w');
[
www.eeworm.com/read/459616/7270650
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/452532/7438263
cpp sparsem.cpp
// SparseMatrix.cpp : implementation file
//
#include "stdafx.h"
#include
#define __SPARSE_DLL__
#include "Sparsem.h"
//修改2003.3.29---------------------------394
//修改2003.3.30-----
www.eeworm.com/read/449504/7502824
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/449504/7502832
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/436588/7767147
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/436588/7767153
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/299178/7881266
m nnz.m
function nz = nnz(S)
%NNZ Number of nonzero matrix elements.
% nz = NNZ(S) is the number of nonzero elements in S.
%
% The density of a sparse matrix S is nnz(S)/prod(size(S)).
%
% See
www.eeworm.com/read/197958/7960744
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/197407/7998615
cpp smatrix2.cpp
// test formula based sparse matrix class
#include
#include "smatrix2.h"
void main(void)
{
try{
SparseMatrix A(2), B(2), C(20);
cin >> A;
cout