root/doc/latex/libPF_8h.tex @ 261

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1\hypertarget{libPF_8h}{
2\section{libPF.h File Reference}
3\label{libPF_8h}\index{libPF.h@{libPF.h}}
4}
5Bayesian Filtering using stochastic sampling (Particle Filters).
6
7{\tt \#include \char`\"{}../stat/libEF.h\char`\"{}}\par
8
9
10Include dependency graph for libPF.h:\nopagebreak
11\begin{figure}[H]
12\begin{center}
13\leavevmode
14\includegraphics[width=94pt]{libPF_8h__incl}
15\end{center}
16\end{figure}
17\subsection*{Namespaces}
18\begin{CompactItemize}
19\item 
20namespace \hyperlink{namespacebdm}{bdm}
21\end{CompactItemize}
22\subsection*{Classes}
23\begin{CompactItemize}
24\item 
25class \hyperlink{classbdm_1_1PF}{bdm::PF}
26\begin{CompactList}\small\item\em Trivial particle filter with proposal density equal to parameter evolution model. \item\end{CompactList}\item 
27class \hyperlink{classbdm_1_1MPF}{bdm::MPF$<$ BM\_\-T $>$}
28\begin{CompactList}\small\item\em Marginalized Particle filter. \item\end{CompactList}\item 
29class \textbf{bdm::MPF$<$ BM\_\-T $>$::mpfepdf}
30\begin{CompactList}\small\item\em internal class for MPDF providing composition of \hyperlink{classbdm_1_1eEmp}{eEmp} with external components \item\end{CompactList}\end{CompactItemize}
31
32
33\subsection{Detailed Description}
34Bayesian Filtering using stochastic sampling (Particle Filters).
35
36\begin{Desc}
37\item[Author:]Vaclav Smidl.\end{Desc}
38----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty
39
40Using IT++ for numerical operations -----------------------------------
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