\hypertarget{group___e_m_n_a}{}\doxysection{E\+M\+NA}
\label{group___e_m_n_a}\index{EMNA@{EMNA}}


Estimation of Multivariate Normal Algorithm (E\+M\+NA) is a stochastic, derivative-\/free methods for numerical optimization of non-\/linear or non-\/convex continuous optimization problems.  


Collaboration diagram for E\+M\+NA\+:
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\doxysubsection*{Classes}
\begin{DoxyCompactItemize}
\item 
class \mbox{\hyperlink{classedo_estimator_normal_multi}{edo\+Estimator\+Normal\+Multi$<$ E\+O\+T, D $>$}}
\item 
class \mbox{\hyperlink{classedo_normal_multi}{edo\+Normal\+Multi$<$ E\+O\+T $>$}}
\item 
class \mbox{\hyperlink{classedo_sampler_normal_multi}{edo\+Sampler\+Normal\+Multi$<$ E\+O\+T, D $>$}}
\end{DoxyCompactItemize}


\doxysubsection{Detailed Description}
Estimation of Multivariate Normal Algorithm (E\+M\+NA) is a stochastic, derivative-\/free methods for numerical optimization of non-\/linear or non-\/convex continuous optimization problems.