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/449504/7503001
m sar_gmm.m
function results=sar_gmm(y,x,W)
% PURPOSE: computes Generalized Moments Estimates for Spatial Autoregressive Model
% y = rho*W*y + XB + e
% -----------------------------------------------
www.eeworm.com/read/446553/7576772
m redbusad.m
function Yred=redbusad(Y,M)
% Yred=RedBusAd(Y,M) returns the reduced bus admittance matrix, for
% a network with full admittance matrix Y and in which the last M
% buses are to be eliminated. If Y
www.eeworm.com/read/445203/7598061
m sqppf.m
function [buso, geno, brancho, f, info, et, g, dg] = sqppf(baseMVA, bus, ...
gen, branch, areas, gencost, option, Au, lu, uu)
% SQPPF: Preconditioner for MINOPF.
%
www.eeworm.com/read/443644/7629604
c prepare.c
/*
** 2005 May 25
**
** The author disclaims copyright to this source code. In place of
** a legal notice, here is a blessing:
**
** May you do good and not evil.
** May you find forgiveness fo
www.eeworm.com/read/440842/7680258
m logit_large.m
function result = logit_large(y,x,maxit,tol)
% PURPOSE: computes Logit Regression
%---------------------------------------------------
% USAGE: results = logit(y,x,maxit,tol)
% where: y = dependen
www.eeworm.com/read/440842/7680273
m probit_large.m
function result = probit_large(y,x,maxit,tol)
% PURPOSE: computes Probit Regression
%---------------------------------------------------
% USAGE: results = probit(y,x,maxit,tol)
% where: y = depen
www.eeworm.com/read/437538/7746343
m at_dwt1d.m
% Written by Thong Do, JHU, 2007
% modified, Feb. 2008
function alpha = At_dwt1d(At,b,h0,h1,L,m,n)
% alpha: sparse vector which is taken from Wavelet transform of image x
% A: random projection
www.eeworm.com/read/435917/7781022
c prepare.c
/*
** 2005 May 25
**
** The author disclaims copyright to this source code. In place of
** a legal notice, here is a blessing:
**
** May you do good and not evil.
** May you find forgiveness fo
www.eeworm.com/read/435830/7783357
m exd3.m
% example exd3
%----------------------------------------------------------------
% PURPOSE
% Structural Dynamics, time integration, reduced system.
%
% Note: example exd1.m must be run first.
%
www.eeworm.com/read/399803/7835383
asv discretisationeigenvectordata.asv
function Y = discretisationEigenVectorData(EigenVector)
%
% Timothee Cour, Stella Yu, Jianbo Shi, 2004
[n,k]=size(EigenVector);
[Maximum,J]=max(EigenVector');
Y=sparse(1:n,J',1,n,k);