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/292964/3936920
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/292964/3937175
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/292964/3937185
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/282378/4101854
inl gw_triangularinterpolation_linear.inl
/*------------------------------------------------------------------------------*/
/**
* \file GW_TriangularInterpolation_Linear.inl
* \brief Inlined methods for \c GW_TriangularInterpolati
www.eeworm.com/read/282378/4101868
cpp gw_triangularinterpolation_linear.cpp
/*------------------------------------------------------------------------------*/
/**
* \file GW_TriangularInterpolation_Linear.cpp
* \brief Definition of class \c GW_TriangularInterpolati
www.eeworm.com/read/282378/4101881
h gw_triangularinterpolation_linear.h
/*------------------------------------------------------------------------------*/
/**
* \file GW_TriangularInterpolation_Linear.h
* \brief Definition of class \c GW_TriangularInterpolati
www.eeworm.com/read/438267/1826438
svn-base linear.png.svn-base
K 13
svn:mime-type
V 24
application/octet-stream
END
www.eeworm.com/read/434858/1867956
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/434858/1868125
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/434858/1868129
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)
%