| 1 | \hypertarget{classmlnorm}{ | 
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| 2 | \section{mlnorm$<$ sq\_\-T $>$ Class Template Reference} | 
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| 3 | \label{classmlnorm}\index{mlnorm@{mlnorm}} | 
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| 4 | } | 
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| 5 | Normal distributed linear function with linear function of mean value;. | 
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| 6 |  | 
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| 7 |  | 
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| 8 | {\tt \#include $<$libEF.h$>$} | 
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| 9 |  | 
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| 10 | Inheritance diagram for mlnorm$<$ sq\_\-T $>$:\nopagebreak | 
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| 11 | \begin{figure}[H] | 
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| 12 | \begin{center} | 
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| 13 | \leavevmode | 
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| 14 | \includegraphics[width=74pt]{classmlnorm__inherit__graph} | 
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| 15 | \end{center} | 
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| 16 | \end{figure} | 
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| 17 | Collaboration diagram for mlnorm$<$ sq\_\-T $>$:\nopagebreak | 
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| 18 | \begin{figure}[H] | 
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| 19 | \begin{center} | 
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| 20 | \leavevmode | 
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| 21 | \includegraphics[width=68pt]{classmlnorm__coll__graph} | 
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| 22 | \end{center} | 
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| 23 | \end{figure} | 
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| 24 | \subsection*{Public Member Functions} | 
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| 25 | \begin{CompactItemize} | 
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| 26 | \item | 
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| 27 | \hypertarget{classmlnorm_3a5ad4798d8a3878c5e93b8e796c8837}{ | 
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| 28 | \hyperlink{classmlnorm_3a5ad4798d8a3878c5e93b8e796c8837}{mlnorm} (const \hyperlink{classRV}{RV} \&\hyperlink{classmpdf_f6687c07ff07d47812dd565368ca59eb}{rv}, const \hyperlink{classRV}{RV} \&\hyperlink{classmpdf_acb7dda792b3cd5576f39fa3129abbab}{rvc})} | 
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| 29 | \label{classmlnorm_3a5ad4798d8a3878c5e93b8e796c8837} | 
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| 30 |  | 
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| 31 | \begin{CompactList}\small\item\em Constructor. \item\end{CompactList}\item | 
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| 32 | \hypertarget{classmlnorm_f95dfce0b500636a44ecd7e5210de999}{ | 
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| 33 | void \hyperlink{classmlnorm_f95dfce0b500636a44ecd7e5210de999}{set\_\-parameters} (const mat \&A, const vec \&mu0, const sq\_\-T \&R)} | 
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| 34 | \label{classmlnorm_f95dfce0b500636a44ecd7e5210de999} | 
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| 35 |  | 
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| 36 | \begin{CompactList}\small\item\em Set {\tt A} and {\tt R}. \item\end{CompactList}\item | 
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| 37 | \hypertarget{classmlnorm_d41126455ac64b888a38f677886e1b40}{ | 
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| 38 | void \hyperlink{classmlnorm_d41126455ac64b888a38f677886e1b40}{condition} (const vec \&cond)} | 
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| 39 | \label{classmlnorm_d41126455ac64b888a38f677886e1b40} | 
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| 40 |  | 
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| 41 | \begin{CompactList}\small\item\em Set value of {\tt rvc} . Result of this operation is stored in {\tt \hyperlink{classepdf}{epdf}} use function {\tt \_\-ep} to access it. \item\end{CompactList}\item | 
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| 42 | \hypertarget{classmlnorm_2732ae47835dd25d5784bf08fde0a546}{ | 
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| 43 | vec \& \hyperlink{classmlnorm_2732ae47835dd25d5784bf08fde0a546}{\_\-mu\_\-const} ()} | 
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| 44 | \label{classmlnorm_2732ae47835dd25d5784bf08fde0a546} | 
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| 45 |  | 
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| 46 | \begin{CompactList}\small\item\em access function \item\end{CompactList}\item | 
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| 47 | \hypertarget{classmlnorm_65ec3840c21b21102896bfd2282b47b3}{ | 
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| 48 | mat \& \hyperlink{classmlnorm_65ec3840c21b21102896bfd2282b47b3}{\_\-A} ()} | 
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| 49 | \label{classmlnorm_65ec3840c21b21102896bfd2282b47b3} | 
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| 50 |  | 
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| 51 | \begin{CompactList}\small\item\em access function \item\end{CompactList}\item | 
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| 52 | \hypertarget{classmlnorm_3ff2b03fbb5e1133a5fe1bf831939f63}{ | 
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| 53 | mat \hyperlink{classmlnorm_3ff2b03fbb5e1133a5fe1bf831939f63}{\_\-R} ()} | 
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| 54 | \label{classmlnorm_3ff2b03fbb5e1133a5fe1bf831939f63} | 
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| 55 |  | 
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| 56 | \begin{CompactList}\small\item\em access function \item\end{CompactList}\item | 
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| 57 | virtual vec \hyperlink{classmpdf_3f172b79ec4a5ebc87898a5381141f1b}{samplecond} (const vec \&cond, double \&ll) | 
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| 58 | \begin{CompactList}\small\item\em Returns a sample from the density conditioned on {\tt cond}, $x \sim epdf(rv|cond)$. \item\end{CompactList}\item | 
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| 59 | virtual mat \hyperlink{classmpdf_b1dae6171ee39a6a05976c7b1007a3c5}{samplecond\_\-m} (const vec \&cond, vec \&ll, int N) | 
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| 60 | \begin{CompactList}\small\item\em Returns. \item\end{CompactList}\item | 
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| 61 | \hypertarget{classmpdf_2ef8a6374029d990a678782f6decebbe}{ | 
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| 62 | virtual double \hyperlink{classmpdf_2ef8a6374029d990a678782f6decebbe}{evallogcond} (const vec \&dt, const vec \&cond)} | 
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| 63 | \label{classmpdf_2ef8a6374029d990a678782f6decebbe} | 
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| 64 |  | 
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| 65 | \begin{CompactList}\small\item\em Shortcut for conditioning and evaluation of the internal \hyperlink{classepdf}{epdf}. In some cases, this operation can be implemented efficiently. \item\end{CompactList}\item | 
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| 66 | \hypertarget{classmpdf_95fcff214848f66f1b489459370573fa}{ | 
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| 67 | virtual vec \hyperlink{classmpdf_95fcff214848f66f1b489459370573fa}{evallogcond\_\-m} (const mat \&Dt, const vec \&cond)} | 
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| 68 | \label{classmpdf_95fcff214848f66f1b489459370573fa} | 
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| 69 |  | 
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| 70 | \begin{CompactList}\small\item\em Matrix version of evallogcond. \item\end{CompactList}\item | 
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| 71 | \hypertarget{classmpdf_15ef062183b1ccdf794732d5fa0b77cd}{ | 
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| 72 | \hyperlink{classRV}{RV} \hyperlink{classmpdf_15ef062183b1ccdf794732d5fa0b77cd}{\_\-rvc} () const } | 
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| 73 | \label{classmpdf_15ef062183b1ccdf794732d5fa0b77cd} | 
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| 74 |  | 
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| 75 | \begin{CompactList}\small\item\em access function \item\end{CompactList}\item | 
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| 76 | \hypertarget{classmpdf_71256ffb5fbd08f41d650e606a5bd585}{ | 
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| 77 | \hyperlink{classRV}{RV} \hyperlink{classmpdf_71256ffb5fbd08f41d650e606a5bd585}{\_\-rv} () const } | 
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| 78 | \label{classmpdf_71256ffb5fbd08f41d650e606a5bd585} | 
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| 79 |  | 
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| 80 | \begin{CompactList}\small\item\em access function \item\end{CompactList}\item | 
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| 81 | \hypertarget{classmpdf_e17780ee5b2cfe05922a6c56af1462f8}{ | 
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| 82 | \hyperlink{classepdf}{epdf} \& \hyperlink{classmpdf_e17780ee5b2cfe05922a6c56af1462f8}{\_\-epdf} ()} | 
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| 83 | \label{classmpdf_e17780ee5b2cfe05922a6c56af1462f8} | 
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| 84 |  | 
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| 85 | \begin{CompactList}\small\item\em access function \item\end{CompactList}\item | 
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| 86 | \hypertarget{classmpdf_75ded3b0f657cd7da6590691a810963c}{ | 
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| 87 | \hyperlink{classepdf}{epdf} $\ast$ \hyperlink{classmpdf_75ded3b0f657cd7da6590691a810963c}{\_\-e} ()} | 
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| 88 | \label{classmpdf_75ded3b0f657cd7da6590691a810963c} | 
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| 89 |  | 
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| 90 | \begin{CompactList}\small\item\em access function \item\end{CompactList}\end{CompactItemize} | 
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| 91 | \subsection*{Protected Attributes} | 
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| 92 | \begin{CompactItemize} | 
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| 93 | \item | 
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| 94 | \hypertarget{classmlnorm_b76ee2171ace4fb3ff95a131ae8fc421}{ | 
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| 95 | \hyperlink{classenorm}{enorm}$<$ sq\_\-T $>$ \hyperlink{classmlnorm_b76ee2171ace4fb3ff95a131ae8fc421}{epdf}} | 
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| 96 | \label{classmlnorm_b76ee2171ace4fb3ff95a131ae8fc421} | 
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| 97 |  | 
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| 98 | \begin{CompactList}\small\item\em Internal \hyperlink{classepdf}{epdf} that arise by conditioning on {\tt rvc}. \item\end{CompactList}\item | 
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| 99 | \hypertarget{classmlnorm_90a62528ca1ce79b6396ff899119da0f}{ | 
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| 100 | mat \textbf{A}} | 
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| 101 | \label{classmlnorm_90a62528ca1ce79b6396ff899119da0f} | 
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| 102 |  | 
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| 103 | \item | 
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| 104 | \hypertarget{classmlnorm_ebab82017f10fbde483971bbf3b4004d}{ | 
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| 105 | vec \textbf{mu\_\-const}} | 
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| 106 | \label{classmlnorm_ebab82017f10fbde483971bbf3b4004d} | 
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| 107 |  | 
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| 108 | \item | 
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| 109 | \hypertarget{classmlnorm_17552bef9aeba92a42516fe7d39a5893}{ | 
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| 110 | vec \& \textbf{\_\-mu}} | 
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| 111 | \label{classmlnorm_17552bef9aeba92a42516fe7d39a5893} | 
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| 112 |  | 
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| 113 | \item | 
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| 114 | \hypertarget{classmpdf_f6687c07ff07d47812dd565368ca59eb}{ | 
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| 115 | \hyperlink{classRV}{RV} \hyperlink{classmpdf_f6687c07ff07d47812dd565368ca59eb}{rv}} | 
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| 116 | \label{classmpdf_f6687c07ff07d47812dd565368ca59eb} | 
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| 117 |  | 
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| 118 | \begin{CompactList}\small\item\em modeled random variable \item\end{CompactList}\item | 
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| 119 | \hypertarget{classmpdf_acb7dda792b3cd5576f39fa3129abbab}{ | 
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| 120 | \hyperlink{classRV}{RV} \hyperlink{classmpdf_acb7dda792b3cd5576f39fa3129abbab}{rvc}} | 
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| 121 | \label{classmpdf_acb7dda792b3cd5576f39fa3129abbab} | 
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| 122 |  | 
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| 123 | \begin{CompactList}\small\item\em random variable in condition \item\end{CompactList}\item | 
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| 124 | \hypertarget{classmpdf_7aa894208a32f3487827df6d5054424c}{ | 
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| 125 | \hyperlink{classepdf}{epdf} $\ast$ \hyperlink{classmpdf_7aa894208a32f3487827df6d5054424c}{ep}} | 
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| 126 | \label{classmpdf_7aa894208a32f3487827df6d5054424c} | 
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| 127 |  | 
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| 128 | \begin{CompactList}\small\item\em pointer to internal \hyperlink{classepdf}{epdf} \item\end{CompactList}\end{CompactItemize} | 
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| 129 | \subsection*{Friends} | 
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| 130 | \begin{CompactItemize} | 
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| 131 | \item | 
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| 132 | \hypertarget{classmlnorm_1917009347bb410f73bf827df8767b09}{ | 
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| 133 | {\footnotesize template$<$class sq\_\-M$>$ }\\std::ostream \& \textbf{operator$<$$<$} (std::ostream \&os, \hyperlink{classmlnorm}{mlnorm}$<$ sq\_\-M $>$ \&ml)} | 
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| 134 | \label{classmlnorm_1917009347bb410f73bf827df8767b09} | 
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| 135 |  | 
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| 136 | \end{CompactItemize} | 
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| 137 |  | 
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| 138 |  | 
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| 139 | \subsection{Detailed Description} | 
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| 140 | \subsubsection*{template$<$class sq\_\-T$>$ class mlnorm$<$ sq\_\-T $>$} | 
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| 141 |  | 
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| 142 | Normal distributed linear function with linear function of mean value;. | 
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| 143 |  | 
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| 144 | Mean value $mu=A*rvc+mu_0$. | 
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| 145 |  | 
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| 146 | \subsection{Member Function Documentation} | 
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| 147 | \hypertarget{classmpdf_3f172b79ec4a5ebc87898a5381141f1b}{ | 
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| 148 | \index{mlnorm@{mlnorm}!samplecond@{samplecond}} | 
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| 149 | \index{samplecond@{samplecond}!mlnorm@{mlnorm}} | 
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| 150 | \subsubsection[samplecond]{\setlength{\rightskip}{0pt plus 5cm}virtual vec mpdf::samplecond (const vec \& {\em cond}, \/  double \& {\em ll})\hspace{0.3cm}{\tt  \mbox{[}inline, virtual, inherited\mbox{]}}}} | 
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| 151 | \label{classmpdf_3f172b79ec4a5ebc87898a5381141f1b} | 
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| 152 |  | 
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| 153 |  | 
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| 154 | Returns a sample from the density conditioned on {\tt cond}, $x \sim epdf(rv|cond)$. | 
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| 155 |  | 
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| 156 | \begin{Desc} | 
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| 157 | \item[Parameters:] | 
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| 158 | \begin{description} | 
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| 159 | \item[{\em cond}]is numeric value of {\tt rv} \item[{\em ll}]is a return value of log-likelihood of the sample. \end{description} | 
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| 160 | \end{Desc} | 
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| 161 |  | 
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| 162 |  | 
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| 163 | Reimplemented in \hyperlink{classmprod_a48887eb8738a9e5550bfc38eb8e9d68}{mprod}. | 
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| 164 |  | 
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| 165 | References mpdf::condition(), mpdf::ep, epdf::evallog(), and epdf::sample(). | 
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| 166 |  | 
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| 167 | Referenced by MPF$<$ BM\_\-T $>$::bayes(), and PF::bayes().\hypertarget{classmpdf_b1dae6171ee39a6a05976c7b1007a3c5}{ | 
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| 168 | \index{mlnorm@{mlnorm}!samplecond\_\-m@{samplecond\_\-m}} | 
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| 169 | \index{samplecond\_\-m@{samplecond\_\-m}!mlnorm@{mlnorm}} | 
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| 170 | \subsubsection[samplecond\_\-m]{\setlength{\rightskip}{0pt plus 5cm}virtual mat mpdf::samplecond\_\-m (const vec \& {\em cond}, \/  vec \& {\em ll}, \/  int {\em N})\hspace{0.3cm}{\tt  \mbox{[}inline, virtual, inherited\mbox{]}}}} | 
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| 171 | \label{classmpdf_b1dae6171ee39a6a05976c7b1007a3c5} | 
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| 172 |  | 
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| 173 |  | 
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| 174 | Returns. | 
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| 175 |  | 
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| 176 | \begin{Desc} | 
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| 177 | \item[Parameters:] | 
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| 178 | \begin{description} | 
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| 179 | \item[{\em N}]samples from the density conditioned on {\tt cond}, $x \sim epdf(rv|cond)$. \item[{\em cond}]is numeric value of {\tt rv} \item[{\em ll}]is a return value of log-likelihood of the sample. \end{description} | 
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| 180 | \end{Desc} | 
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| 181 |  | 
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| 182 |  | 
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| 183 | References mpdf::condition(), RV::count(), mpdf::ep, epdf::evallog(), mpdf::rv, and epdf::sample(). | 
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| 184 |  | 
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| 185 | The documentation for this class was generated from the following file:\begin{CompactItemize} | 
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| 186 | \item | 
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| 187 | work/git/mixpp/bdm/stat/\hyperlink{libEF_8h}{libEF.h}\end{CompactItemize} | 
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