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09/04/08 20:27:01 (16 years ago)
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smidl
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opravy a dokumentace

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  • doc/latex/classmlnorm.tex

    r145 r162  
    3838 
    3939\begin{CompactList}\small\item\em Set value of {\tt rvc} . Result of this operation is stored in {\tt \doxyref{epdf}{p.}{classepdf}} use function {\tt \_\-ep} to access it. \item\end{CompactList}\item  
     40virtual vec {\bf samplecond} (const vec \&cond, double \&ll) 
     41\begin{CompactList}\small\item\em Returns the required moment of the \doxyref{epdf}{p.}{classepdf}. \item\end{CompactList}\item  
     42virtual mat {\bf samplecond} (const vec \&cond, vec \&ll, int N) 
     43\begin{CompactList}\small\item\em Returns. \item\end{CompactList}\item  
    4044virtual void {\bf condition} (const vec \&cond)\label{classmpdf_0f95a0cc6ab40611f46804682446ed83} 
    4145 
    … …  
    4549\begin{CompactList}\small\item\em Shortcut for conditioning and evaluation of the internal \doxyref{epdf}{p.}{classepdf}. In some cases, this operation can be implemented efficiently. \item\end{CompactList}\item  
    4650{\bf RV} {\bf \_\-rvc} ()\label{classmpdf_ec9c850305984582548e8deb64f0ffe8} 
     51 
     52\begin{CompactList}\small\item\em access function \item\end{CompactList}\item  
     53{\bf RV} {\bf \_\-rv} ()\label{classmpdf_1e71ad4c66d5884c82d4a3b06b42fe32} 
    4754 
    4855\begin{CompactList}\small\item\em access function \item\end{CompactList}\item  
    … …  
    7178Mean value $mu=A*rvc$.  
    7279 
     80\subsection{Member Function Documentation} 
     81\index{mlnorm@{mlnorm}!samplecond@{samplecond}} 
     82\index{samplecond@{samplecond}!mlnorm@{mlnorm}} 
     83\subsubsection[samplecond]{\setlength{\rightskip}{0pt plus 5cm}virtual vec mpdf::samplecond (const vec \& {\em cond}, \/  double \& {\em ll})\hspace{0.3cm}{\tt  [inline, virtual, inherited]}}\label{classmpdf_3f172b79ec4a5ebc87898a5381141f1b} 
     84 
     85 
     86Returns the required moment of the \doxyref{epdf}{p.}{classepdf}.  
     87 
     88Returns a sample from the density conditioned on {\tt cond}, $x \sim epdf(rv|cond)$. \begin{Desc} 
     89\item[Parameters:] 
     90\begin{description} 
     91\item[{\em cond}]is numeric value of {\tt rv} \item[{\em ll}]is a return value of log-likelihood of the sample. \end{description} 
     92\end{Desc} 
     93 
     94 
     95References mpdf::condition(), mpdf::ep, epdf::evalpdflog(), and epdf::sample(). 
     96 
     97Referenced by MPF$<$ BM\_\-T $>$::bayes(), and PF::bayes().\index{mlnorm@{mlnorm}!samplecond@{samplecond}} 
     98\index{samplecond@{samplecond}!mlnorm@{mlnorm}} 
     99\subsubsection[samplecond]{\setlength{\rightskip}{0pt plus 5cm}virtual mat mpdf::samplecond (const vec \& {\em cond}, \/  vec \& {\em ll}, \/  int {\em N})\hspace{0.3cm}{\tt  [inline, virtual, inherited]}}\label{classmpdf_0e37163660f93df2a4d723cedb1da89c} 
     100 
     101 
     102Returns.  
     103 
     104\begin{Desc} 
     105\item[Parameters:] 
     106\begin{description} 
     107\item[{\em N}]samples from the density conditioned on {\tt cond}, $x \sim epdf(rv|cond)$. \item[{\em cond}]is numeric value of {\tt rv} \item[{\em ll}]is a return value of log-likelihood of the sample. \end{description} 
     108\end{Desc} 
     109 
     110 
     111References mpdf::condition(), RV::count(), mpdf::ep, epdf::evalpdflog(), mpdf::rv, and epdf::sample(). 
     112 
    73113The documentation for this class was generated from the following file:\begin{CompactItemize} 
    74114\item