代码搜索：linear
找到约 10,000 项符合「linear」的源代码
代码结果 10,000
www.eeworm.com/read/346158/3189786
m cpd_to_linear_gaussian.m
function [mu, Sigma, W] = CPD_to_linear_gaussian(CPD, domain, ns, cnodes, evidence)
ps = domain(1:end-1);
dnodes = mysetdiff(1:length(ns), cnodes);
dps = myintersect(ps, dnodes); % discrete parents
www.eeworm.com/read/346158/3189796
m linear_gaussian_cpd.m
function CPD = linear_gaussian_CPD(bnet, self, theta, sigma, theta0, n0, alpha0, beta0)
% LINEAR_GAUSSIAN_CPD Make a linear Gaussian distrib.
%
% CPD = linear_gaussian_CPD(bnet, self, theta, lambda)
%
www.eeworm.com/read/315275/3621944
m linear_array_gui.m
function varargout = linear_array_gui(varargin)
% LINEAR_ARRAY_GUI M-file for linear_array_gui.fig
% LINEAR_ARRAY_GUI, by itself, creates a new LINEAR_ARRAY_GUI or raises the existing
% s
www.eeworm.com/read/304962/3783201
h linear_algebracd_impl.h
// Copyright (c) 1999 Utrecht University (The Netherlands),
// ETH Zurich (Switzerland), Freie Universitaet Berlin (Germany),
// INRIA Sophia-Antipolis (France), Martin-Luther-University Halle-Witten
www.eeworm.com/read/304962/3783243
h linear_algebrahd_impl.h
// Copyright (c) 1997-2000 Utrecht University (The Netherlands),
// ETH Zurich (Switzerland), Freie Universitaet Berlin (Germany),
// INRIA Sophia-Antipolis (France), Martin-Luther-University Halle-W
www.eeworm.com/read/304962/3783272
h linear_algebra_lapack.h
// Copyright (c) 2007 INRIA Sophia-Antipolis (France), INRIA Lorraine LORIA.
// All rights reserved.
//
// This file is part of CGAL (www.cgal.org); you may redistribute it under
// the terms of the
www.eeworm.com/read/292984/3935772
m mk_linear_slam.m
function [A,B,C,Q,R,Qbig,Rbig,init_x,init_V,robot_block,landmark_block,...
true_landmark_pos, true_robot_pos, true_data_assoc, ...
obs_rel_pos, ctrl_signal] = mk_linear_slam(varargin)
% We crea
www.eeworm.com/read/292984/3936027
m cpd_to_linear_gaussian.m
function [mu, Sigma, W] = CPD_to_linear_gaussian(CPD, domain, ns, cnodes, evidence)
ps = domain(1:end-1);
dnodes = mysetdiff(1:length(ns), cnodes);
dps = myintersect(ps, dnodes); % discrete parents
www.eeworm.com/read/292984/3936037
m linear_gaussian_cpd.m
function CPD = linear_gaussian_CPD(bnet, self, theta, sigma, theta0, n0, alpha0, beta0)
% LINEAR_GAUSSIAN_CPD Make a linear Gaussian distrib.
%
% CPD = linear_gaussian_CPD(bnet, self, theta, lambda)
%