Changeset 19 for doc/latex/classPF.tex

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Timestamp:
02/16/08 15:12:24 (17 years ago)
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smidl
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  • doc/latex/classPF.tex

    r8 r19  
    66{\tt \#include $<$libPF.h$>$} 
    77 
    8 Inheritance diagram for PF::\begin{figure}[H] 
     8Inheritance diagram for PF:\nopagebreak 
     9\begin{figure}[H] 
    910\begin{center} 
    1011\leavevmode 
    11 \includegraphics[height=3cm]{classPF} 
     12\includegraphics[width=49pt]{classPF__inherit__graph} 
     13\end{center} 
     14\end{figure} 
     15Collaboration diagram for PF:\nopagebreak 
     16\begin{figure}[H] 
     17\begin{center} 
     18\leavevmode 
     19\includegraphics[width=38pt]{classPF__coll__graph} 
    1220\end{center} 
    1321\end{figure} 
     
    1725ivec {\bf resample} (RESAMPLING\_\-METHOD method=SYSTEMATIC)\label{classPF_a0e26b2f6a5884aca49122f3e4f0cf19} 
    1826 
    19 \begin{CompactList}\small\item\em Returns indexes of particles that should be resampled. \item\end{CompactList}\end{CompactItemize} 
     27\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  
     28\textbf{PF} (vec w)\label{classPF_c37f95f0c1661c7f1e3fccb31d39de73} 
     29 
     30\item  
     31void {\bf bayes} (const vec \&dt, bool evell) 
     32\begin{CompactList}\small\item\em Incremental Bayes rule. \item\end{CompactList}\end{CompactItemize} 
    2033\subsection*{Protected Attributes} 
    2134\begin{CompactItemize} 
     
    2538\item  
    2639vec \textbf{w}\label{classPF_f6bc92f7979af4513b06b161497ba868} 
     40 
     41\item  
     42Uniform\_\-RNG \textbf{URNG}\label{classPF_3568ca7c3b3175d98b548f496b4c34dd} 
    2743 
    2844\end{CompactItemize} 
     
    3450Bayesian Filtering equations hold.  
    3551 
     52\subsection{Member Function Documentation} 
     53\index{PF@{PF}!bayes@{bayes}} 
     54\index{bayes@{bayes}!PF@{PF}} 
     55\subsubsection{\setlength{\rightskip}{0pt plus 5cm}void PF::bayes (const vec \& {\em dt}, bool {\em evall})\hspace{0.3cm}{\tt  [inline, virtual]}}\label{classPF_eb06bd7d4325f22f54233967295793b9} 
     56 
     57 
     58Incremental Bayes rule.  
     59 
     60\begin{Desc} 
     61\item[Parameters:] 
     62\begin{description} 
     63\item[{\em dt}]vector of input data \item[{\em evall}]If true, the filter will compute likelihood of the data record and store it in {\tt ll} \end{description} 
     64\end{Desc} 
     65 
     66 
     67Implements {\bf BM} \doxyref{}{p.}{classBM_c52edf4ad6e1dff9bf64b9e1e0cfb1f0}. 
     68 
     69Reimplemented in {\bf TrivialPF} \doxyref{}{p.}{classTrivialPF_77a92bf054d763f806d27fc37a058389}. 
     70 
    3671The documentation for this class was generated from the following files:\begin{CompactItemize} 
    3772\item  
    38 work/mixpp/{\bf libPF.h}\item  
    39 work/mixpp/libPF.cpp\end{CompactItemize} 
     73work/mixpp/bdm/estim/{\bf libPF.h}\item  
     74work/mixpp/bdm/estim/libPF.cpp\end{CompactItemize}