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/328455/3443513
m ldpc_generate.m
function [H] = generate(M,N,t,q,seed)
%[H] = generate(M,N,t,q,seed)
% generates sparse LDPC parity check matrix over GF2
% Input:
% M number of parity checks
% N blocklength
% t
www.eeworm.com/read/328455/3443518
m ldpc_generate.m
function [H] = generate(M,N,t,q,seed)
%[H] = generate(M,N,t,q,seed)
% generates sparse LDPC parity check matrix over GFq
% (first H for GF2 is generated, then elements of GFq are created at random)
www.eeworm.com/read/397428/2402054
m ldpc_generate.m
function [H] = generate(M,N,t,q,seed)
%[H] = generate(M,N,t,q,seed)
% generates sparse LDPC parity check matrix over GF2
% Input:
% M number of parity checks
% N blocklength
% t
www.eeworm.com/read/397428/2402059
m ldpc_generate.m
function [H] = generate(M,N,t,q,seed)
%[H] = generate(M,N,t,q,seed)
% generates sparse LDPC parity check matrix over GFq
% (first H for GF2 is generated, then elements of GFq are created at random)
www.eeworm.com/read/383954/2605168
m ldpc_generate.m
function [H] = generate(M,N,t,q,seed)
%[H] = generate(M,N,t,q,seed)
% generates sparse LDPC parity check matrix over GFq
% (first H for GF2 is generated, then elements of GFq are created at random)
www.eeworm.com/read/373026/2767718
c mexsymbfct.c
/*
L = symfctmex(X, perm)
Computes sparse symbolic factor L.L, updated permutation L.perm,
super-node partition L.xsuper.
Invokes SPARSPAK-A (ANSI FORTRAN) RELEASE III,
by Joseph Liu (UN
www.eeworm.com/read/263726/4300114
tex pimsm.tex
%
% $XORP: xorp/docs/user_manual/pimsm.tex,v 1.28 2007/03/14 01:07:01 pavlin Exp $
%
\chapter{PIM Sparse-Mode}
\label{pimsm}
\section{Terminology and Concepts}
PIM stands for {\it Protocol Independ
www.eeworm.com/read/135438/13928984
txt d1r9.txt
implementation
//PROGRAM D1R9
//Driver for routine SPARSE
uses
unit2;
{$R *.DFM}
procedure ASUB(XIN:array of real;var XOUT:array of real);
var
I,N:integer;
begin
N:= 20;
XOUT
www.eeworm.com/read/284782/8898758
m sar_panel.m
function results = sar_panel(y,x,W,T,info)
% PURPOSE: computes spatial lag model estimates for spatial panels (N regions*T time periods)
% y = p*W*y + X*b + e, using sparse matrix algorith
www.eeworm.com/read/284782/8898790
m sem_panel.m
function results = sem_panel(y,x,W,T,info)
% PURPOSE: computes spatial error model estimates for spatial panels (N regions*T time periods)
% y = XB + u, u = p*W*u + e, using sparse algori