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upravy Kalmana

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[8]1\section{epdf Class Reference}
2\label{classepdf}\index{epdf@{epdf}}
3Probability density function with numerical statistics, e.g. posterior density. 
4
5
6{\tt \#include $<$libBM.h$>$}
7
[19]8Inheritance diagram for epdf:\nopagebreak
9\begin{figure}[H]
[8]10\begin{center}
11\leavevmode
[19]12\includegraphics[width=67pt]{classepdf__inherit__graph}
[8]13\end{center}
14\end{figure}
[19]15Collaboration diagram for epdf:\nopagebreak
16\begin{figure}[H]
17\begin{center}
18\leavevmode
19\includegraphics[width=41pt]{classepdf__coll__graph}
20\end{center}
21\end{figure}
[8]22\subsection*{Public Member Functions}
23\begin{CompactItemize}
24\item 
[19]25virtual vec {\bf sample} ()=0
[8]26\begin{CompactList}\small\item\em Returns the required moment of the \doxyref{epdf}{p.}{classepdf}. \item\end{CompactList}\item 
[22]27virtual double {\bf eval} (const vec \&val)\label{classepdf_f333ceeb88ebc37d81fcd4cea4526bfc}
[8]28
[22]29\begin{CompactList}\small\item\em Compute probability of argument {\tt val}. \item\end{CompactList}\end{CompactItemize}
[8]30
31
32\subsection{Detailed Description}
33Probability density function with numerical statistics, e.g. posterior density.
34
35\subsection{Member Function Documentation}
36\index{epdf@{epdf}!sample@{sample}}
37\index{sample@{sample}!epdf@{epdf}}
[19]38\subsubsection{\setlength{\rightskip}{0pt plus 5cm}virtual vec epdf::sample ()\hspace{0.3cm}{\tt  [pure virtual]}}\label{classepdf_7f74d871d50b9ff360f1b3879092a9fa}
[8]39
40
41Returns the required moment of the \doxyref{epdf}{p.}{classepdf}.
42
[22]43Returns a sample from the density, $x \sim epdf(rv)$ 
[8]44
[19]45Implemented in {\bf enorm$<$ sq\_\-T $>$} \doxyref{}{p.}{classenorm_6020bcd89db2c9584bd8871001bd2023}.
[8]46
47The documentation for this class was generated from the following file:\begin{CompactItemize}
48\item 
[19]49work/mixpp/bdm/stat/{\bf libBM.h}\end{CompactItemize}
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