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[172]1\hypertarget{classeuni}{
[30]2\section{euni Class Reference}
3\label{classeuni}\index{euni@{euni}}
[172]4}
[30]5Uniform distributed density on a rectangular support. 
6
7
8{\tt \#include $<$libEF.h$>$}
9
10Inheritance diagram for euni:\nopagebreak
11\begin{figure}[H]
12\begin{center}
13\leavevmode
[91]14\includegraphics[width=39pt]{classeuni__inherit__graph}
[30]15\end{center}
16\end{figure}
17Collaboration diagram for euni:\nopagebreak
18\begin{figure}[H]
19\begin{center}
20\leavevmode
[91]21\includegraphics[width=39pt]{classeuni__coll__graph}
[30]22\end{center}
23\end{figure}
24\subsection*{Public Member Functions}
25\begin{CompactItemize}
26\item 
[172]27\hypertarget{classeuni_2537a6c239cff52e3ba814851a1116cd}{
28\hyperlink{classeuni_2537a6c239cff52e3ba814851a1116cd}{euni} (const \hyperlink{classRV}{RV} \hyperlink{classepdf_74da992e3f5d598da8850b646b79b9d9}{rv})}
29\label{classeuni_2537a6c239cff52e3ba814851a1116cd}
[30]30
[33]31\begin{CompactList}\small\item\em Defualt constructor. \item\end{CompactList}\item 
[172]32\hypertarget{classeuni_2723d4992900b5c5495bfa03628195ed}{
[210]33double \textbf{eval} (const vec \&val) const }
[172]34\label{classeuni_2723d4992900b5c5495bfa03628195ed}
[30]35
[210]36\item 
[219]37\hypertarget{classeuni_357b36417ef4c9211d12e7a4a602fd6a}{
38double \hyperlink{classeuni_357b36417ef4c9211d12e7a4a602fd6a}{evallog} (const vec \&val) const }
39\label{classeuni_357b36417ef4c9211d12e7a4a602fd6a}
[30]40
41\begin{CompactList}\small\item\em Compute log-probability of argument {\tt val}. \item\end{CompactList}\item 
[172]42\hypertarget{classeuni_4a0e09392be17beaee120ba98fc038cd}{
43vec \hyperlink{classeuni_4a0e09392be17beaee120ba98fc038cd}{sample} () const }
44\label{classeuni_4a0e09392be17beaee120ba98fc038cd}
[30]45
[172]46\begin{CompactList}\small\item\em Returns a sample, $x$ from density $epdf(rv)$. \item\end{CompactList}\item 
47\hypertarget{classeuni_4fd7c6a05100616ad16ece405cad7bf2}{
48void \hyperlink{classeuni_4fd7c6a05100616ad16ece405cad7bf2}{set\_\-parameters} (const vec \&low0, const vec \&high0)}
49\label{classeuni_4fd7c6a05100616ad16ece405cad7bf2}
50
[33]51\begin{CompactList}\small\item\em set values of {\tt low} and {\tt high} \item\end{CompactList}\item 
[172]52\hypertarget{classeuni_8050087e421a9cfd1b4b1f8bd33b1cc1}{
53vec \hyperlink{classeuni_8050087e421a9cfd1b4b1f8bd33b1cc1}{mean} () const }
54\label{classeuni_8050087e421a9cfd1b4b1f8bd33b1cc1}
[30]55
[33]56\begin{CompactList}\small\item\em return expected value \item\end{CompactList}\item 
[210]57\hypertarget{classepdf_76608914c3b19e150292d5c56e93e508}{
58virtual mat \hyperlink{classepdf_76608914c3b19e150292d5c56e93e508}{sample\_\-m} (int N) const }
59\label{classepdf_76608914c3b19e150292d5c56e93e508}
[106]60
61\begin{CompactList}\small\item\em Returns N samples from density $epdf(rv)$. \item\end{CompactList}\item 
[219]62\hypertarget{classepdf_2495a04bbacb9b55fe5a3a59b78affca}{
63virtual vec \hyperlink{classepdf_2495a04bbacb9b55fe5a3a59b78affca}{evallog\_\-m} (const mat \&Val) const }
64\label{classepdf_2495a04bbacb9b55fe5a3a59b78affca}
[33]65
[172]66\begin{CompactList}\small\item\em Compute log-probability of multiple values argument {\tt val}. \item\end{CompactList}\item 
[210]67\hypertarget{classepdf_e87dc8260a5c37bc1b03eb66174741a0}{
68virtual \hyperlink{classmpdf}{mpdf} $\ast$ \hyperlink{classepdf_e87dc8260a5c37bc1b03eb66174741a0}{condition} (const \hyperlink{classRV}{RV} \&\hyperlink{classepdf_74da992e3f5d598da8850b646b79b9d9}{rv}) const }
69\label{classepdf_e87dc8260a5c37bc1b03eb66174741a0}
[181]70
71\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 
[210]72\hypertarget{classepdf_38de9f59b65ee06028554f3f74b66025}{
73virtual \hyperlink{classepdf}{epdf} $\ast$ \hyperlink{classepdf_38de9f59b65ee06028554f3f74b66025}{marginal} (const \hyperlink{classRV}{RV} \&\hyperlink{classepdf_74da992e3f5d598da8850b646b79b9d9}{rv}) const }
74\label{classepdf_38de9f59b65ee06028554f3f74b66025}
[181]75
76\begin{CompactList}\small\item\em Return marginal density on the given \hyperlink{classRV}{RV}, the remainig rvs are intergrated out. \item\end{CompactList}\item 
[172]77\hypertarget{classepdf_ca0d32aabb4cbba347e0c37fe8607562}{
78const \hyperlink{classRV}{RV} \& \hyperlink{classepdf_ca0d32aabb4cbba347e0c37fe8607562}{\_\-rv} () const }
79\label{classepdf_ca0d32aabb4cbba347e0c37fe8607562}
80
81\begin{CompactList}\small\item\em access function, possibly dangerous! \item\end{CompactList}\item 
82\hypertarget{classepdf_7fb94ce90d1ac7077d29f7d6a6c3e0a5}{
83void \hyperlink{classepdf_7fb94ce90d1ac7077d29f7d6a6c3e0a5}{\_\-renewrv} (const \hyperlink{classRV}{RV} \&in\_\-rv)}
84\label{classepdf_7fb94ce90d1ac7077d29f7d6a6c3e0a5}
85
86\begin{CompactList}\small\item\em modifier function - useful when copying epdfs \item\end{CompactList}\end{CompactItemize}
[30]87\subsection*{Protected Attributes}
88\begin{CompactItemize}
89\item 
[172]90\hypertarget{classeuni_ef42cd8d7645422048d46c46ec5cdac1}{
91vec \hyperlink{classeuni_ef42cd8d7645422048d46c46ec5cdac1}{low}}
92\label{classeuni_ef42cd8d7645422048d46c46ec5cdac1}
[30]93
94\begin{CompactList}\small\item\em lower bound on support \item\end{CompactList}\item 
[172]95\hypertarget{classeuni_71b6d6b41aeb61a7f76f682b72119231}{
96vec \hyperlink{classeuni_71b6d6b41aeb61a7f76f682b72119231}{high}}
97\label{classeuni_71b6d6b41aeb61a7f76f682b72119231}
[30]98
99\begin{CompactList}\small\item\em upper bound on support \item\end{CompactList}\item 
[172]100\hypertarget{classeuni_52a6ff4a54010f88a6a19fca605c64a4}{
101vec \hyperlink{classeuni_52a6ff4a54010f88a6a19fca605c64a4}{distance}}
102\label{classeuni_52a6ff4a54010f88a6a19fca605c64a4}
[30]103
104\begin{CompactList}\small\item\em internal \item\end{CompactList}\item 
[172]105\hypertarget{classeuni_63105490e946e43372d6187ad1bafdda}{
106double \hyperlink{classeuni_63105490e946e43372d6187ad1bafdda}{nk}}
107\label{classeuni_63105490e946e43372d6187ad1bafdda}
[30]108
109\begin{CompactList}\small\item\em normalizing coefficients \item\end{CompactList}\item 
[172]110\hypertarget{classeuni_f445a0ce24f39d14c1a4eed53fc8e2c3}{
111double \hyperlink{classeuni_f445a0ce24f39d14c1a4eed53fc8e2c3}{lnk}}
112\label{classeuni_f445a0ce24f39d14c1a4eed53fc8e2c3}
[30]113
[33]114\begin{CompactList}\small\item\em cache of log( {\tt nk} ) \item\end{CompactList}\item 
[172]115\hypertarget{classepdf_74da992e3f5d598da8850b646b79b9d9}{
116\hyperlink{classRV}{RV} \hyperlink{classepdf_74da992e3f5d598da8850b646b79b9d9}{rv}}
117\label{classepdf_74da992e3f5d598da8850b646b79b9d9}
[30]118
[33]119\begin{CompactList}\small\item\em Identified of the random variable. \item\end{CompactList}\end{CompactItemize}
[30]120
121
122\subsection{Detailed Description}
123Uniform distributed density on a rectangular support.
124
125The documentation for this class was generated from the following file:\begin{CompactItemize}
126\item 
[172]127work/git/mixpp/bdm/stat/\hyperlink{libEF_8h}{libEF.h}\end{CompactItemize}
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