\hypertarget{classenorm}{ \section{enorm$<$ sq\_\-T $>$ Class Template Reference} \label{classenorm}\index{enorm@{enorm}} } Gaussian density with positive definite (decomposed) covariance matrix. {\tt \#include $<$libEF.h$>$} Inheritance diagram for enorm$<$ sq\_\-T $>$:\nopagebreak \begin{figure}[H] \begin{center} \leavevmode \includegraphics[width=171pt]{classenorm__inherit__graph} \end{center} \end{figure} Collaboration diagram for enorm$<$ sq\_\-T $>$:\nopagebreak \begin{figure}[H] \begin{center} \leavevmode \includegraphics[width=69pt]{classenorm__coll__graph} \end{center} \end{figure} \subsection*{Public Member Functions} \begin{CompactItemize} \item \hypertarget{classenorm_7b5cb487a2570e8109bfdc0df149aa06}{ \hyperlink{classenorm_7b5cb487a2570e8109bfdc0df149aa06}{enorm} (\hyperlink{classRV}{RV} \&\hyperlink{classepdf_74da992e3f5d598da8850b646b79b9d9}{rv})} \label{classenorm_7b5cb487a2570e8109bfdc0df149aa06} \begin{CompactList}\small\item\em Default constructor. \item\end{CompactList}\item \hypertarget{classenorm_1394a65caa6e00d42e00cc99b12227af}{ void \hyperlink{classenorm_1394a65caa6e00d42e00cc99b12227af}{set\_\-parameters} (const vec \&\hyperlink{classenorm_71fde0d54bba147e00f612577f95ad20}{mu}, const sq\_\-T \&\hyperlink{classenorm_4ccc8d8514d644ef1c98d8ab023748a1}{R})} \label{classenorm_1394a65caa6e00d42e00cc99b12227af} \begin{CompactList}\small\item\em Set mean value {\tt mu} and covariance {\tt R}. \item\end{CompactList}\item \hypertarget{classenorm_5b5fd142b6b17ea334597960e3fe126a}{ void \hyperlink{classenorm_5b5fd142b6b17ea334597960e3fe126a}{tupdate} (double phi, mat \&vbar, double nubar)} \label{classenorm_5b5fd142b6b17ea334597960e3fe126a} \begin{CompactList}\small\item\em tupdate in exponential form (not really handy) \item\end{CompactList}\item \hypertarget{classenorm_5bf185e31e5954fceb90ada3debd2ff2}{ void \hyperlink{classenorm_5bf185e31e5954fceb90ada3debd2ff2}{dupdate} (mat \&v, double nu=1.0)} \label{classenorm_5bf185e31e5954fceb90ada3debd2ff2} \begin{CompactList}\small\item\em dupdate in exponential form (not really handy) \item\end{CompactList}\item \hypertarget{classenorm_60b47544f6181ffd4530d3e415ce12c5}{ vec \hyperlink{classenorm_60b47544f6181ffd4530d3e415ce12c5}{sample} () const } \label{classenorm_60b47544f6181ffd4530d3e415ce12c5} \begin{CompactList}\small\item\em Returns a sample, $x$ from density $epdf(rv)$. \item\end{CompactList}\item \hypertarget{classenorm_60f0f3bfa53d6e65843eea9532b16d36}{ mat \hyperlink{classenorm_60f0f3bfa53d6e65843eea9532b16d36}{sample} (int N) const } \label{classenorm_60f0f3bfa53d6e65843eea9532b16d36} \begin{CompactList}\small\item\em TODO is it used? \item\end{CompactList}\item \hypertarget{classenorm_b9e1dfd33692d7b3f1a59f17b0e61bd0}{ double \hyperlink{classenorm_b9e1dfd33692d7b3f1a59f17b0e61bd0}{eval} (const vec \&val) const } \label{classenorm_b9e1dfd33692d7b3f1a59f17b0e61bd0} \begin{CompactList}\small\item\em Compute probability of argument {\tt val}. \item\end{CompactList}\item \hypertarget{classenorm_609a7c33dbb4fdfab050f3bdd1122401}{ double \hyperlink{classenorm_609a7c33dbb4fdfab050f3bdd1122401}{evalpdflog} (const vec \&val) const } \label{classenorm_609a7c33dbb4fdfab050f3bdd1122401} \begin{CompactList}\small\item\em Evaluate normalized log-probability. \item\end{CompactList}\item \hypertarget{classenorm_b289a36a69db59d182bb6eba9c05d4a8}{ double \hyperlink{classenorm_b289a36a69db59d182bb6eba9c05d4a8}{lognc} () const } \label{classenorm_b289a36a69db59d182bb6eba9c05d4a8} \begin{CompactList}\small\item\em logarithm of the normalizing constant, $\mathcal{I}$ \item\end{CompactList}\item \hypertarget{classenorm_50fa84da7bae02f7af17a98f37566899}{ vec \hyperlink{classenorm_50fa84da7bae02f7af17a98f37566899}{mean} () const } \label{classenorm_50fa84da7bae02f7af17a98f37566899} \begin{CompactList}\small\item\em return expected value \item\end{CompactList}\item \hypertarget{classenorm_0b8cb284e5af920a1b64a21d057ec5ac}{ vec \& \hyperlink{classenorm_0b8cb284e5af920a1b64a21d057ec5ac}{\_\-mu} ()} \label{classenorm_0b8cb284e5af920a1b64a21d057ec5ac} \begin{CompactList}\small\item\em returns a pointer to the internal mean value. Use with Care! \item\end{CompactList}\item \hypertarget{classenorm_d892a38f03be12e572ea57d9689cef6b}{ void \hyperlink{classenorm_d892a38f03be12e572ea57d9689cef6b}{set\_\-mu} (const vec mu0)} \label{classenorm_d892a38f03be12e572ea57d9689cef6b} \begin{CompactList}\small\item\em access function \item\end{CompactList}\item \hypertarget{classenorm_7a5034b25771a84450a990d10fc40ac9}{ sq\_\-T \& \hyperlink{classenorm_7a5034b25771a84450a990d10fc40ac9}{\_\-R} ()} \label{classenorm_7a5034b25771a84450a990d10fc40ac9} \begin{CompactList}\small\item\em returns pointers to the internal variance and its inverse. Use with Care! \item\end{CompactList}\item \hypertarget{classenorm_9b9f58dc86affa23511c246887420658}{ mat \hyperlink{classenorm_9b9f58dc86affa23511c246887420658}{getR} ()} \label{classenorm_9b9f58dc86affa23511c246887420658} \begin{CompactList}\small\item\em access method \item\end{CompactList}\item \hypertarget{classeEF_a89bef8996410609004fa019b5b48964}{ virtual void \hyperlink{classeEF_a89bef8996410609004fa019b5b48964}{dupdate} (mat \&v)} \label{classeEF_a89bef8996410609004fa019b5b48964} \begin{CompactList}\small\item\em TODO decide if it is really needed. \item\end{CompactList}\item \hypertarget{classeEF_48cdd33d0e20d1a1aa45683c956bc61c}{ virtual double \hyperlink{classeEF_48cdd33d0e20d1a1aa45683c956bc61c}{evalpdflog\_\-nn} (const vec \&val) const } \label{classeEF_48cdd33d0e20d1a1aa45683c956bc61c} \begin{CompactList}\small\item\em Evaluate normalized log-probability. \item\end{CompactList}\item \hypertarget{classeEF_c71faf4b2d153efda14bf1f87dca1507}{ virtual vec \hyperlink{classeEF_c71faf4b2d153efda14bf1f87dca1507}{evalpdflog} (const mat \&Val) const } \label{classeEF_c71faf4b2d153efda14bf1f87dca1507} \begin{CompactList}\small\item\em Evaluate normalized log-probability for many samples. \item\end{CompactList}\item \hypertarget{classeEF_4f8385dd1cc9740522dc373b1dc3cbf5}{ virtual void \hyperlink{classeEF_4f8385dd1cc9740522dc373b1dc3cbf5}{pow} (double p)} \label{classeEF_4f8385dd1cc9740522dc373b1dc3cbf5} \begin{CompactList}\small\item\em Power of the density, used e.g. to flatten the density. \item\end{CompactList}\item \hypertarget{classepdf_54d7dd53a641b618771cd9bee135181f}{ virtual mat \hyperlink{classepdf_54d7dd53a641b618771cd9bee135181f}{sampleN} (int N) const } \label{classepdf_54d7dd53a641b618771cd9bee135181f} \begin{CompactList}\small\item\em Returns N samples from density $epdf(rv)$. \item\end{CompactList}\item \hypertarget{classepdf_ca0d32aabb4cbba347e0c37fe8607562}{ const \hyperlink{classRV}{RV} \& \hyperlink{classepdf_ca0d32aabb4cbba347e0c37fe8607562}{\_\-rv} () const } \label{classepdf_ca0d32aabb4cbba347e0c37fe8607562} \begin{CompactList}\small\item\em access function, possibly dangerous! \item\end{CompactList}\item \hypertarget{classepdf_7fb94ce90d1ac7077d29f7d6a6c3e0a5}{ void \hyperlink{classepdf_7fb94ce90d1ac7077d29f7d6a6c3e0a5}{\_\-renewrv} (const \hyperlink{classRV}{RV} \&in\_\-rv)} \label{classepdf_7fb94ce90d1ac7077d29f7d6a6c3e0a5} \begin{CompactList}\small\item\em modifier function - useful when copying epdfs \item\end{CompactList}\end{CompactItemize} \subsection*{Protected Attributes} \begin{CompactItemize} \item \hypertarget{classenorm_71fde0d54bba147e00f612577f95ad20}{ vec \hyperlink{classenorm_71fde0d54bba147e00f612577f95ad20}{mu}} \label{classenorm_71fde0d54bba147e00f612577f95ad20} \begin{CompactList}\small\item\em mean value \item\end{CompactList}\item \hypertarget{classenorm_4ccc8d8514d644ef1c98d8ab023748a1}{ sq\_\-T \hyperlink{classenorm_4ccc8d8514d644ef1c98d8ab023748a1}{R}} \label{classenorm_4ccc8d8514d644ef1c98d8ab023748a1} \begin{CompactList}\small\item\em Covariance matrix in decomposed form. \item\end{CompactList}\item \hypertarget{classenorm_6938fc390a19cdaf6ad4503fcbaada4e}{ int \hyperlink{classenorm_6938fc390a19cdaf6ad4503fcbaada4e}{dim}} \label{classenorm_6938fc390a19cdaf6ad4503fcbaada4e} \begin{CompactList}\small\item\em dimension (redundant from rv.count() for easier coding ) \item\end{CompactList}\item \hypertarget{classepdf_74da992e3f5d598da8850b646b79b9d9}{ \hyperlink{classRV}{RV} \hyperlink{classepdf_74da992e3f5d598da8850b646b79b9d9}{rv}} \label{classepdf_74da992e3f5d598da8850b646b79b9d9} \begin{CompactList}\small\item\em Identified of the random variable. \item\end{CompactList}\end{CompactItemize} \subsection{Detailed Description} \subsubsection*{template$<$class sq\_\-T$>$ class enorm$<$ sq\_\-T $>$} Gaussian density with positive definite (decomposed) covariance matrix. More?... The documentation for this class was generated from the following file:\begin{CompactItemize} \item work/git/mixpp/bdm/stat/\hyperlink{libEF_8h}{libEF.h}\end{CompactItemize}