Changeset 28 for doc/latex/classBM.tex

Timestamp:

02/22/08 16:40:12 (16 years ago)

Author:

smidl

Message:

prelozitelna verze

Files:

• doc/latex/classBM.tex (modified) (4 diffs)

doc/latex/classBM.tex

@@ -19 +19 @@
 
 \begin{CompactList}\small\item\em Default constructor. \item\end{CompactList}\item 
-virtual void {\bf bayes} (const vec \&dt, bool evall=true)=0
+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}\end{CompactItemize}
+\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}
@@ -29 +32 @@
 double {\bf ll}\label{classBM_5623fef6572a08c2b53b8c87b82dc979}
 
-\begin{CompactList}\small\item\em Logarithm of marginalized data likelihood. \item\end{CompactList}\end{CompactItemize}
+\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}
 
 
@@ -38 +44 @@
 \index{BM@{BM}!bayes@{bayes}}
 \index{bayes@{bayes}!BM@{BM}}
-\subsubsection{\setlength{\rightskip}{0pt plus 5cm}virtual void BM::bayes (const vec \& {\em dt}, bool {\em evall} = {\tt true})\hspace{0.3cm}{\tt  [pure virtual]}}\label{classBM_c52edf4ad6e1dff9bf64b9e1e0cfb1f0}
+\subsubsection{\setlength{\rightskip}{0pt plus 5cm}virtual void BM::bayes (const vec \& {\em dt})\hspace{0.3cm}{\tt  [pure virtual]}}\label{classBM_a892eff438aab2dd1a9e2efcb7fb5bdf}
 
 
@@ -46 +52 @@
 \item[Parameters:]
 \begin{description}
-\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}
+\item[{\em dt}]vector of input data \end{description}
 \end{Desc}
 
-
-Implemented in {\bf KalmanFull} \doxyref{}{p.}{classKalmanFull_048b13739b94c331cda08249b278552b}, {\bf Kalman$<$ sq\_\-T $>$} \doxyref{}{p.}{classKalman_e945d9205ca14acbd83ba80ea6f72b8e}, {\bf EKF$<$ sq\_\-T $>$} \doxyref{}{p.}{classEKF_fb0a08463f14e5584344ea2df99fe747}, {\bf PF} \doxyref{}{p.}{classPF_eb06bd7d4325f22f54233967295793b9}, {\bf TrivialPF} \doxyref{}{p.}{classTrivialPF_77a92bf054d763f806d27fc37a058389}, and {\bf Kalman$<$ fsqmat $>$} \doxyref{}{p.}{classKalman_e945d9205ca14acbd83ba80ea6f72b8e}.
 
 The documentation for this class was generated from the following file:\begin{CompactItemize}