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/409299/2235077
m maxsparsetargetalignment.m
function u = maxSparseTargetAlignment(X, y)
%A function to compute the maximum sparse target alignment vector between matrix X
%and vector y
%
%inputs
%X data matrix with examples as rows
%y l
www.eeworm.com/read/393395/2474595
m spars.m
function sparsity=spars(x)
%Returns the sparsity of the matrix/vector x. It works for sparse and dense
%storage, too.
% This file is part of SeDuMi 1.1 by Imre Polik and Oleksandr Romanko
% Copyright
www.eeworm.com/read/393395/2474656
m symfctmex.m
% [L,perm,xsuper,split,tmpsiz] = symfctmex(X, perm, cachsz)
% Computes sparse symbolic factor L, updated permutation PERM,
% super-node partition XSUPER, and a splitting of supernodes
% (SPLI
www.eeworm.com/read/294317/8241742
cpp lsmatrix.cpp
// test linked sparse matrix class
#include
#include "lsmatrix.h"
void main(void)
{
LinkedMatrix A, B, C;
cin >> A;
cout
www.eeworm.com/read/367160/9778479
f dlatm3.f
DOUBLE PRECISION FUNCTION DLATM3( M, N, I, J, ISUB, JSUB, KL, KU,
$ IDIST, ISEED, D, IGRADE, DL, DR, IPVTNG, IWORK,
$ SPARSE )
*
* -- LAPACK auxili
www.eeworm.com/read/367160/9778494
f zlatm3.f
DOUBLE COMPLEX FUNCTION ZLATM3( M, N, I, J, ISUB, JSUB, KL, KU,
$ IDIST, ISEED, D, IGRADE, DL, DR, IPVTNG, IWORK,
$ SPARSE )
*
* -- LAPACK auxili
www.eeworm.com/read/205036/15328888
m mtimes.m
function C = mtimes(A,B)
%MTIMES sptensor-scalar multiplication.
%
% C = MTIMES(A,B) is called for the syntax 'A * B' when A or B is a
% sparse tensor and the other argument is a scalar.
%
% F
www.eeworm.com/read/201477/15407795
cpp lsmatrix.cpp
// test linked sparse matrix class
#include
#include "lsmatrix.h"
void main(void)
{
LinkedMatrix A, B, C;
cin >> A;
cout
www.eeworm.com/read/318028/3572832
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/316721/3608513
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