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Timestamp:
02/22/08 16:40:12 (16 years ago)
Author:
smidl
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prelozitelna verze

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1 modified

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  • doc/latex/classKalmanFull.tex

    r19 r28  
    2626 
    2727\begin{CompactList}\small\item\em Full constructor. \item\end{CompactList}\item  
    28 void {\bf bayes} (const vec \&dt, bool evalll=true)\label{classKalmanFull_048b13739b94c331cda08249b278552b} 
     28void {\bf bayes} (const vec \&dt, bool {\bf evalll}=true)\label{classKalmanFull_048b13739b94c331cda08249b278552b} 
    2929 
    30 \begin{CompactList}\small\item\em Here dt = [yt;ut] of appropriate dimensions. \item\end{CompactList}\end{CompactItemize} 
     30\begin{CompactList}\small\item\em Here dt = [yt;ut] of appropriate dimensions. \item\end{CompactList}\item  
     31virtual void {\bf bayes} (const vec \&dt)=0 
     32\begin{CompactList}\small\item\em Incremental Bayes rule. \item\end{CompactList}\item  
     33void {\bf bayes} (mat Dt)\label{classBM_87b07867fd4c133aa89a18543f68d9f9} 
     34 
     35\begin{CompactList}\small\item\em Batch Bayes rule (columns of Dt are observations). \item\end{CompactList}\item  
     36{\bf epdf} $\ast$ {\bf \_\-epdf} ()\label{classBM_a5b8f6c8a872738cfaa30ab010e8c077} 
     37 
     38\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} 
    3139\subsection*{Public Attributes} 
    3240\begin{CompactItemize} 
    … …  
    3745mat {\bf P}\label{classKalmanFull_b75dc059e84fa8ffc076203b30f926cc} 
    3846 
    39 \begin{CompactList}\small\item\em Variance of the posterior density. \item\end{CompactList}\end{CompactItemize} 
     47\begin{CompactList}\small\item\em Variance of the posterior density. \item\end{CompactList}\item  
     48double {\bf ll}\label{classBM_5623fef6572a08c2b53b8c87b82dc979} 
     49 
     50\begin{CompactList}\small\item\em Logarithm of marginalized data likelihood. \item\end{CompactList}\item  
     51bool {\bf evalll}\label{classBM_bf6fb59b30141074f8ee1e2f43d03129} 
     52 
     53\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} 
    4054\subsection*{Friends} 
    4155\begin{CompactItemize} 
    … …  
    4963Basic \doxyref{Kalman}{p.}{classKalman} filter with full matrices (education purpose only)! Will be deleted soon!  
    5064 
     65\subsection{Member Function Documentation} 
     66\index{KalmanFull@{KalmanFull}!bayes@{bayes}} 
     67\index{bayes@{bayes}!KalmanFull@{KalmanFull}} 
     68\subsubsection{\setlength{\rightskip}{0pt plus 5cm}virtual void BM::bayes (const vec \& {\em dt})\hspace{0.3cm}{\tt  [pure virtual, inherited]}}\label{classBM_a892eff438aab2dd1a9e2efcb7fb5bdf} 
     69 
     70 
     71Incremental Bayes rule.  
     72 
     73\begin{Desc} 
     74\item[Parameters:] 
     75\begin{description} 
     76\item[{\em dt}]vector of input data \end{description} 
     77\end{Desc} 
     78 
     79 
    5180The documentation for this class was generated from the following files:\begin{CompactItemize} 
    5281\item