Changeset 210 for doc/latex/classegiw.tex

Timestamp:

11/13/08 19:59:21 (16 years ago)

Author:

smidl

Message:

dokumentace

Files:

• doc/latex/classegiw.tex (modified) (5 diffs)

doc/latex/classegiw.tex

@@ -25 +25 @@
 \begin{CompactItemize}
 \item 
-\hypertarget{classegiw_c52a2173c6eb1490edce9c6c7c05d60b}{
-\hyperlink{classegiw_c52a2173c6eb1490edce9c6c7c05d60b}{egiw} (\hyperlink{classRV}{RV} \hyperlink{classepdf_74da992e3f5d598da8850b646b79b9d9}{rv}, mat V0, double nu0)}
-\label{classegiw_c52a2173c6eb1490edce9c6c7c05d60b}
+\hypertarget{classegiw_056c094f01ca1cc308d72162f47617c9}{
+\hyperlink{classegiw_056c094f01ca1cc308d72162f47617c9}{egiw} (\hyperlink{classRV}{RV} \hyperlink{classepdf_74da992e3f5d598da8850b646b79b9d9}{rv}, mat V0, double nu0=-1.0)}
+\label{classegiw_056c094f01ca1cc308d72162f47617c9}
 
-\begin{CompactList}\small\item\em Default constructor, assuming. \item\end{CompactList}\item 
-\hypertarget{classegiw_1a17fdbac6c72b9c3abb97623db466c8}{
-\hyperlink{classegiw_1a17fdbac6c72b9c3abb97623db466c8}{egiw} (\hyperlink{classRV}{RV} \hyperlink{classepdf_74da992e3f5d598da8850b646b79b9d9}{rv}, \hyperlink{classldmat}{ldmat} V0, double nu0)}
-\label{classegiw_1a17fdbac6c72b9c3abb97623db466c8}
+\begin{CompactList}\small\item\em Default constructor, if nu0$<$0 a minimal nu0 will be computed. \item\end{CompactList}\item 
+\hypertarget{classegiw_18c1bf6125652a6dcbca68dd02dddd8d}{
+\hyperlink{classegiw_18c1bf6125652a6dcbca68dd02dddd8d}{egiw} (\hyperlink{classRV}{RV} \hyperlink{classepdf_74da992e3f5d598da8850b646b79b9d9}{rv}, \hyperlink{classldmat}{ldmat} V0, double nu0=-1.0)}
+\label{classegiw_18c1bf6125652a6dcbca68dd02dddd8d}
 
 \begin{CompactList}\small\item\em Full constructor for V in \hyperlink{classldmat}{ldmat} form. \item\end{CompactList}\item 
@@ -65 +65 @@
 
 \begin{CompactList}\small\item\em returns a pointer to the internal statistics. Use with Care! \item\end{CompactList}\item 
+\hypertarget{classegiw_a46c8a206edf80b357a138d7491780c1}{
+const \hyperlink{classldmat}{ldmat} \& \hyperlink{classegiw_a46c8a206edf80b357a138d7491780c1}{\_\-V} () const }
+\label{classegiw_a46c8a206edf80b357a138d7491780c1}
+
+\begin{CompactList}\small\item\em returns a pointer to the internal statistics. Use with Care! \item\end{CompactList}\item 
 \hypertarget{classegiw_08029c481ff95d24f093df0573879afe}{
 double \& \hyperlink{classegiw_08029c481ff95d24f093df0573879afe}{\_\-nu} ()}
@@ -70 +75 @@
 
 \begin{CompactList}\small\item\em returns a pointer to the internal statistics. Use with Care! \item\end{CompactList}\item 
+\hypertarget{classegiw_5337922a83bc63e9e826e8a8613ebfe8}{
+const double \& \textbf{\_\-nu} () const }
+\label{classegiw_5337922a83bc63e9e826e8a8613ebfe8}
+
+\item 
 \hypertarget{classegiw_036306322a90a9977834baac07460816}{
 void \hyperlink{classegiw_036306322a90a9977834baac07460816}{pow} (double p)}
@@ -90 +100 @@
 
 \begin{CompactList}\small\item\em Evaluate normalized log-probability for many samples. \item\end{CompactList}\item 
-\hypertarget{classepdf_54d7dd53a641b618771cd9bee135181f}{
-virtual mat \hyperlink{classepdf_54d7dd53a641b618771cd9bee135181f}{sampleN} (int N) const }
-\label{classepdf_54d7dd53a641b618771cd9bee135181f}
+\hypertarget{classepdf_76608914c3b19e150292d5c56e93e508}{
+virtual mat \hyperlink{classepdf_76608914c3b19e150292d5c56e93e508}{sample\_\-m} (int N) const }
+\label{classepdf_76608914c3b19e150292d5c56e93e508}
 
 \begin{CompactList}\small\item\em Returns N samples from density $epdf(rv)$. \item\end{CompactList}\item 
-\hypertarget{classepdf_3ea597362e11a0040fe7c990269d072c}{
-virtual double \hyperlink{classepdf_3ea597362e11a0040fe7c990269d072c}{eval} (const vec \&val) const }
-\label{classepdf_3ea597362e11a0040fe7c990269d072c}
-
-\begin{CompactList}\small\item\em Compute probability of argument {\tt val}. \item\end{CompactList}\item 
 \hypertarget{classepdf_cebbdd7a85e6328f7358fc0ba8eee06c}{
 virtual vec \hyperlink{classepdf_cebbdd7a85e6328f7358fc0ba8eee06c}{evalpdflog\_\-m} (const mat \&Val) const }
@@ -105 +110 @@
 
 \begin{CompactList}\small\item\em Compute log-probability of multiple values argument {\tt val}. \item\end{CompactList}\item 
-\hypertarget{classepdf_3ba08c0e788deff22134c049b9269666}{
-\hyperlink{classmpdf}{mpdf} $\ast$ \hyperlink{classepdf_3ba08c0e788deff22134c049b9269666}{condition} (const \hyperlink{classRV}{RV} \&\hyperlink{classepdf_74da992e3f5d598da8850b646b79b9d9}{rv})}
-\label{classepdf_3ba08c0e788deff22134c049b9269666}
+\hypertarget{classepdf_e87dc8260a5c37bc1b03eb66174741a0}{
+virtual \hyperlink{classmpdf}{mpdf} $\ast$ \hyperlink{classepdf_e87dc8260a5c37bc1b03eb66174741a0}{condition} (const \hyperlink{classRV}{RV} \&\hyperlink{classepdf_74da992e3f5d598da8850b646b79b9d9}{rv}) const }
+\label{classepdf_e87dc8260a5c37bc1b03eb66174741a0}
 
 \begin{CompactList}\small\item\em Return conditional density on the given \hyperlink{classRV}{RV}, the remaining rvs will be in conditioning. \item\end{CompactList}\item 
-\hypertarget{classepdf_bc0c171b6dafacd78d26263913b1d0c0}{
-\hyperlink{classepdf}{epdf} $\ast$ \hyperlink{classepdf_bc0c171b6dafacd78d26263913b1d0c0}{marginal} (const \hyperlink{classRV}{RV} \&\hyperlink{classepdf_74da992e3f5d598da8850b646b79b9d9}{rv})}
-\label{classepdf_bc0c171b6dafacd78d26263913b1d0c0}
+\hypertarget{classepdf_38de9f59b65ee06028554f3f74b66025}{
+virtual \hyperlink{classepdf}{epdf} $\ast$ \hyperlink{classepdf_38de9f59b65ee06028554f3f74b66025}{marginal} (const \hyperlink{classRV}{RV} \&\hyperlink{classepdf_74da992e3f5d598da8850b646b79b9d9}{rv}) const }
+\label{classepdf_38de9f59b65ee06028554f3f74b66025}
 
 \begin{CompactList}\small\item\em Return marginal density on the given \hyperlink{classRV}{RV}, the remainig rvs are intergrated out. \item\end{CompactList}\item