\section{PF Class Reference}
\label{classPF}\index{PF@{PF}}
A Particle Filter prototype.  


{\tt \#include $<$libPF.h$>$}

Inheritance diagram for PF:\nopagebreak
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Collaboration diagram for PF:\nopagebreak
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\subsection*{Public Member Functions}
\begin{CompactItemize}
\item 
ivec {\bf resample} (RESAMPLING\_\-METHOD method=SYSTEMATIC)\label{classPF_a0e26b2f6a5884aca49122f3e4f0cf19}

\begin{CompactList}\small\item\em Returns indexes of particles that should be resampled. The ordering MUST guarantee inplace replacement. (Important for MPF.). \item\end{CompactList}\item 
\textbf{PF} (vec w)\label{classPF_c37f95f0c1661c7f1e3fccb31d39de73}

\item 
void \textbf{bayes} (const vec \&dt, bool evell)\label{classPF_eb06bd7d4325f22f54233967295793b9}

\item 
virtual void {\bf bayes} (const vec \&dt)=0
\begin{CompactList}\small\item\em Incremental Bayes rule. \item\end{CompactList}\item 
void {\bf bayes} (mat Dt)\label{classBM_87b07867fd4c133aa89a18543f68d9f9}

\begin{CompactList}\small\item\em Batch Bayes rule (columns of Dt are observations). \item\end{CompactList}\item 
{\bf epdf} $\ast$ {\bf \_\-epdf} ()\label{classBM_a5b8f6c8a872738cfaa30ab010e8c077}

\begin{CompactList}\small\item\em Returns a pointer to the \doxyref{epdf}{p.}{classepdf} representing posterior density on parameters. Use with care! \item\end{CompactList}\end{CompactItemize}
\subsection*{Public Attributes}
\begin{CompactItemize}
\item 
double {\bf ll}\label{classBM_5623fef6572a08c2b53b8c87b82dc979}

\begin{CompactList}\small\item\em Logarithm of marginalized data likelihood. \item\end{CompactList}\item 
bool {\bf evalll}\label{classBM_bf6fb59b30141074f8ee1e2f43d03129}

\begin{CompactList}\small\item\em If true, the filter will compute likelihood of the data record and store it in {\tt ll} . Set to false if you want to save time. \item\end{CompactList}\end{CompactItemize}
\subsection*{Protected Attributes}
\begin{CompactItemize}
\item 
int \textbf{n}\label{classPF_2c2f44ed7a4eaa42e07bdb58d503f280}

\item 
vec \textbf{w}\label{classPF_f6bc92f7979af4513b06b161497ba868}

\item 
Uniform\_\-RNG \textbf{URNG}\label{classPF_3568ca7c3b3175d98b548f496b4c34dd}

\end{CompactItemize}


\subsection{Detailed Description}
A Particle Filter prototype. 

Bayesian Filtering equations hold. 

\subsection{Member Function Documentation}
\index{PF@{PF}!bayes@{bayes}}
\index{bayes@{bayes}!PF@{PF}}
\subsubsection{\setlength{\rightskip}{0pt plus 5cm}virtual void BM::bayes (const vec \& {\em dt})\hspace{0.3cm}{\tt  [pure virtual, inherited]}}\label{classBM_a892eff438aab2dd1a9e2efcb7fb5bdf}


Incremental Bayes rule. 

\begin{Desc}
\item[Parameters:]
\begin{description}
\item[{\em dt}]vector of input data \end{description}
\end{Desc}


The documentation for this class was generated from the following files:\begin{CompactItemize}
\item 
work/mixpp/bdm/estim/{\bf libPF.h}\item 
work/mixpp/bdm/estim/libPF.cpp\end{CompactItemize}