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/135534/13922790
bld1
- Introduction
bls1: sparse svd via hybrid block Lanczos procedure for
equivalent 2-cyclic eigensystems.
bls1.c is an ANSI-C code designed to compute singular values
and sing
www.eeworm.com/read/205036/15328890
m contract.m
function y = contract(x,i,j)
%CONTRACT Contract sparse tensor along two dimensions (array trace).
%
% Y = CONTRACT(X,I,J) contracts the entries of X along dimensions I
% and J. Contraction is a ge
www.eeworm.com/read/205036/15328894
m end.m
function e = end(X,k,n)
%END Last index of indexing expression for sparse tensor.
%
% The expression X(end,:,:) will call END(X,1,3) to determine
% the value of the first index.
%
% See al
www.eeworm.com/read/201477/15407278
h smatrix.h
// smatrix.h
// array representation of a sparse matrix
#ifndef SparseMatrix_
#define SparseMatrix_
#include
#include
#include "term.h"
#include "xcept.h"
templ
www.eeworm.com/read/391726/8386146
pas unit2.pas
unit Unit2;
interface
uses
Windows, Messages, SysUtils, Classes, Graphics, Controls,unit1, Forms, Dialogs;
procedure SPARSE(B:array of real; N:integer;var X:array of real; RSQ:real);
implemen
www.eeworm.com/read/192256/8392671
pas unit2.pas
unit Unit2;
interface
uses
Windows, Messages, SysUtils, Classes, Graphics, Controls,unit1, Forms, Dialogs;
procedure SPARSE(B:array of real; N:integer;var X:array of real; RSQ:real);
implemen
www.eeworm.com/read/188426/8541345
m lp.m
function [xout, lambdaout, howout] = lp(f,A,b,VLB,VUB,x0,N,verbosein)
% Functionally equivalent to Optimization Toolbox LP.M, but calls
% BPMPD instead; accepts both full and sparse A.
% Type "help
www.eeworm.com/read/432932/8562495
m factorization_cholinc.m
% factorization_cholinc.m
% 不完全Cholesky分解示例
S = sparse([ 1 0 3 0;
0 25 0 30;
3 0 9 0;
0 30 0 661 ]);
disp('完全cho
www.eeworm.com/read/387489/8671238
pas unit2.pas
unit Unit2;
interface
uses
Windows, Messages, SysUtils, Classes, Graphics, Controls,unit1, Forms, Dialogs;
procedure SPARSE(B:array of real; N:integer;var X:array of real; RSQ:real);
implemen
www.eeworm.com/read/284782/8898770
m f_sarpanel.m
function llike = f_sarpanel(rho,detval,epe0,eped,epe0d,n,T)
% PURPOSE: evaluates concentrated log-likelihood for the
% spatial panel autoregressive model using sparse matrix algorithms
% --------