代码搜索：dirichlet
找到约 330 项符合「dirichlet」的源代码
代码结果 330
www.eeworm.com/read/133943/5897464
m tabular_cpd.m
function CPD = tabular_CPD(bnet, self, varargin)
% TABULAR_CPD Make a multinomial conditional prob. distrib. (CPT)
%
% CPD = tabular_CPD(bnet, node) creates a random CPT.
%
% The following arguments c
www.eeworm.com/read/249982/12443559
m tabular_cpd.m
function CPD = tabular_CPD(bnet, self, varargin)
% TABULAR_CPD Make a multinomial conditional prob. distrib. (CPT)
%
% CPD = tabular_CPD(bnet, node) creates a random CPT.
%
% The following arguments c
www.eeworm.com/read/160391/5571326
m tabular_cpd.m
function CPD = tabular_CPD(bnet, self, varargin)
% TABULAR_CPD Make a multinomial conditional prob. distrib. (CPT)
%
% CPD = tabular_CPD(bnet, node) creates a random CPT.
%
% The following argume
www.eeworm.com/read/361765/10036807
rd mcmultinomdirichlet.rd
\name{MCmultinomdirichlet}
\alias{MCmultinomdirichlet}
\title{Monte Carlo Simulation from a Multinomial Likelihood with a
Dirichlet Prior}
\description{
This function generates a sample from th
www.eeworm.com/read/350382/10746107
m 3-6.m
%例程3-6 产生Dirichlet函数波形
t=[-4*pi:0.1:4*pi];
x=diric(t,7);
y=diric(t,6);
subplot(2,1,1);
plot(t,x);
subplot(2,1,2);
plot(t,y);
www.eeworm.com/read/444759/7607521
m 3-6.m
%例程3-6 产生Dirichlet函数波形
t=[-4*pi:0.1:4*pi];
x=diric(t,7);
y=diric(t,6);
subplot(2,1,1);
plot(t,x);
subplot(2,1,2);
plot(t,y);
www.eeworm.com/read/310212/13654728
m diric.m
function y=diric(x,N)
%DIRIC Dirichlet, or periodic sinc function
% Y = DIRIC(X,N) returns a matrix the same size as X whose elements
% are the Dirichlet function of the elements of X. Positiv
www.eeworm.com/read/486198/6538018
m 3-6.m
%例程3-6 产生Dirichlet函数波形
t=[-4*pi:0.1:4*pi];
x=diric(t,7);
y=diric(t,6);
subplot(2,1,1);
plot(t,x);
subplot(2,1,2);
plot(t,y);
www.eeworm.com/read/485392/6561192
m 3-6.m
%例程3-6 产生Dirichlet函数波形
t=[-4*pi:0.1:4*pi];
x=diric(t,7);
y=diric(t,6);
subplot(2,1,1);
plot(t,x);
subplot(2,1,2);
plot(t,y);
www.eeworm.com/read/259756/11768278
m poisson.m
function u = Poisson(node,elem,Dirichlet,Neumann,f,u_D,g)
% POISSON solve the 2-D Poisson equation
% -\Delta u = f,
% in a domain described by node and elem,
% with boundary edges Dirichlet, Neu