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[172]1\hypertarget{emix_8h}{
[261]2\section{emix.h File Reference}
3\label{emix_8h}\index{emix.h@{emix.h}}
[172]4}
[106]5Probability distributions for Mixtures of pdfs.
6
7{\tt \#include \char`\"{}libBM.h\char`\"{}}\par
8{\tt \#include \char`\"{}libEF.h\char`\"{}}\par
9
10
11Include dependency graph for emix.h:\nopagebreak
12\begin{figure}[H]
13\begin{center}
14\leavevmode
[261]15\includegraphics[width=102pt]{emix_8h__incl}
[106]16\end{center}
17\end{figure}
[140]18
19
20This graph shows which files directly or indirectly include this file:\nopagebreak
21\begin{figure}[H]
22\begin{center}
23\leavevmode
[261]24\includegraphics[width=52pt]{emix_8h__dep__incl}
[140]25\end{center}
26\end{figure}
[255]27\subsection*{Namespaces}
28\begin{CompactItemize}
29\item 
[261]30namespace \hyperlink{namespacebdm}{bdm}
[255]31\end{CompactItemize}
[106]32\subsection*{Classes}
33\begin{CompactItemize}
34\item 
[255]35class \hyperlink{classbdm_1_1mratio}{bdm::mratio}
[210]36\begin{CompactList}\small\item\em Class representing ratio of two densities which arise e.g. by applying the Bayes rule. It represents density in the form: \[ f(rv|rvc) = \frac{f(rv,rvc)}{f(rvc)} \] where $ f(rvc) = \int f(rv,rvc) d\ rv $. \item\end{CompactList}\item 
[255]37class \hyperlink{classbdm_1_1emix}{bdm::emix}
[140]38\begin{CompactList}\small\item\em Mixture of epdfs. \item\end{CompactList}\item 
[255]39class \hyperlink{classbdm_1_1mprod}{bdm::mprod}
40\begin{CompactList}\small\item\em Chain rule decomposition of \hyperlink{classbdm_1_1epdf}{epdf}. \item\end{CompactList}\item 
41class \hyperlink{classbdm_1_1eprod}{bdm::eprod}
42\begin{CompactList}\small\item\em Product of independent epdfs. For dependent pdfs, use \hyperlink{classbdm_1_1mprod}{mprod}. \item\end{CompactList}\item 
43class \hyperlink{classbdm_1_1mmix}{bdm::mmix}
[162]44\begin{CompactList}\small\item\em Mixture of mpdfs with constant weights, all mpdfs are of equal type. \item\end{CompactList}\end{CompactItemize}
[106]45
46
47\subsection{Detailed Description}
48Probability distributions for Mixtures of pdfs.
49
50\begin{Desc}
51\item[Author:]Vaclav Smidl.\end{Desc}
52----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty
53
54Using IT++ for numerical operations -----------------------------------
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