\section{work/mixpp/bdm/estim/libPF.h File Reference} \label{libPF_8h}\index{work/mixpp/bdm/estim/libPF.h@{work/mixpp/bdm/estim/libPF.h}} Bayesian Filtering using stochastic sampling (Particle Filters). {\tt \#include $<$itpp/itbase.h$>$}\par {\tt \#include \char`\"{}../stat/libEF.h\char`\"{}}\par {\tt \#include \char`\"{}../math/libDC.h\char`\"{}}\par Include dependency graph for libPF.h:\nopagebreak \begin{figure}[H] \begin{center} \leavevmode \includegraphics[width=174pt]{libPF_8h__incl} \end{center} \end{figure} This graph shows which files directly or indirectly include this file:\nopagebreak \begin{figure}[H] \begin{center} \leavevmode \includegraphics[width=112pt]{libPF_8h__dep__incl} \end{center} \end{figure} \subsection*{Classes} \begin{CompactItemize} \item class {\bf PF} \begin{CompactList}\small\item\em Trivial particle filter with proposal density equal to parameter evolution model. \item\end{CompactList}\item class {\bf MPF$<$ BM\_\-T $>$} \begin{CompactList}\small\item\em Marginalized Particle filter. \item\end{CompactList}\item class \textbf{MPF$<$ BM\_\-T $>$::mpfepdf} \begin{CompactList}\small\item\em internal class for MPDF providing composition of \doxyref{eEmp}{p.}{classeEmp} with external components \item\end{CompactList}\end{CompactItemize} \subsection*{Variables} \begin{CompactItemize} \item double \textbf{PF\_\-SSAT}\label{libPF_8h_718eb6f36f33fd5898956fb950d0d8f2} \end{CompactItemize} \subsection{Detailed Description} Bayesian Filtering using stochastic sampling (Particle Filters). \begin{Desc} \item[Author:]Vaclav Smidl.\end{Desc} ----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty Using IT++ for numerical operations -----------------------------------