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  • doc/latex/classEKFCh.tex

    r145 r172  
     1\hypertarget{classEKFCh}{ 
    12\section{EKFCh Class Reference} 
    23\label{classEKFCh}\index{EKFCh@{EKFCh}} 
    3 Extended \doxyref{Kalman}{p.}{classKalman} Filter in Square root.   
     4} 
     5Extended \hyperlink{classKalman}{Kalman} Filter in Square root.   
    46 
    57 
    … …  
    2325\begin{CompactItemize} 
    2426\item  
    25 {\bf EKFCh} ({\bf RV} rvx, {\bf RV} {\bf rvy}, {\bf RV} {\bf rvu})\label{classEKFCh_e9e39a9204db3dda88d06e47c1e19064} 
     27\hypertarget{classEKFCh_e9e39a9204db3dda88d06e47c1e19064}{ 
     28\hyperlink{classEKFCh_e9e39a9204db3dda88d06e47c1e19064}{EKFCh} (\hyperlink{classRV}{RV} rvx, \hyperlink{classRV}{RV} \hyperlink{classKalman_7501230c2fafa3655887d2da23b3184c}{rvy}, \hyperlink{classRV}{RV} \hyperlink{classKalman_44a16ffd5ac1e6e39bae34fea9e1e498}{rvu})} 
     29\label{classEKFCh_e9e39a9204db3dda88d06e47c1e19064} 
    2630 
    2731\begin{CompactList}\small\item\em Default constructor. \item\end{CompactList}\item  
    28 void {\bf set\_\-parameters} ({\bf diffbifn} $\ast$pfxu, {\bf diffbifn} $\ast$phxu, const {\bf chmat} Q0, const {\bf chmat} R0)\label{classEKFCh_0216bed270df59fe65d0d62d41f8257c} 
     32\hypertarget{classEKFCh_0216bed270df59fe65d0d62d41f8257c}{ 
     33void \hyperlink{classEKFCh_0216bed270df59fe65d0d62d41f8257c}{set\_\-parameters} (\hyperlink{classdiffbifn}{diffbifn} $\ast$pfxu, \hyperlink{classdiffbifn}{diffbifn} $\ast$phxu, const \hyperlink{classchmat}{chmat} Q0, const \hyperlink{classchmat}{chmat} R0)} 
     34\label{classEKFCh_0216bed270df59fe65d0d62d41f8257c} 
    2935 
    3036\begin{CompactList}\small\item\em Set nonlinear functions for mean values and covariance matrices. \item\end{CompactList}\item  
    31 void {\bf bayes} (const vec \&dt)\label{classEKFCh_96f6edda324a0b7ef8b4e86cc7af60c1} 
    32  
    33 \begin{CompactList}\small\item\em Here dt = [yt;ut] of appropriate dimensions. \item\end{CompactList}\item  
    34 void {\bf set\_\-parameters} (const mat \&A0, const mat \&B0, const mat \&C0, const mat \&D0, const {\bf chmat} \&R0, const {\bf chmat} \&Q0)\label{classKalmanCh_92fb227287af05c9f0078d523c7c9793} 
     37\hypertarget{classEKFCh_96f6edda324a0b7ef8b4e86cc7af60c1}{ 
     38void \hyperlink{classEKFCh_96f6edda324a0b7ef8b4e86cc7af60c1}{bayes} (const vec \&dt)} 
     39\label{classEKFCh_96f6edda324a0b7ef8b4e86cc7af60c1} 
     40 
     41\begin{CompactList}\small\item\em Here dt = \mbox{[}yt;ut\mbox{]} of appropriate dimensions. \item\end{CompactList}\item  
     42\hypertarget{classKalmanCh_92fb227287af05c9f0078d523c7c9793}{ 
     43void \hyperlink{classKalmanCh_92fb227287af05c9f0078d523c7c9793}{set\_\-parameters} (const mat \&A0, const mat \&B0, const mat \&C0, const mat \&D0, const \hyperlink{classchmat}{chmat} \&R0, const \hyperlink{classchmat}{chmat} \&Q0)} 
     44\label{classKalmanCh_92fb227287af05c9f0078d523c7c9793} 
    3545 
    3646\begin{CompactList}\small\item\em Set parameters with check of relevance. \item\end{CompactList}\item  
    37 void {\bf set\_\-est} (const vec \&mu0, const {\bf chmat} \&P0)\label{classKalmanCh_b261b20f6210d4c85131d33302df0adc} 
     47\hypertarget{classKalmanCh_b261b20f6210d4c85131d33302df0adc}{ 
     48void \hyperlink{classKalmanCh_b261b20f6210d4c85131d33302df0adc}{set\_\-est} (const vec \&mu0, const \hyperlink{classchmat}{chmat} \&P0)} 
     49\label{classKalmanCh_b261b20f6210d4c85131d33302df0adc} 
    3850 
    3951\begin{CompactList}\small\item\em Set estimate values, used e.g. in initialization. \item\end{CompactList}\item  
    40 void {\bf bayes} (mat Dt)\label{classBM_87b07867fd4c133aa89a18543f68d9f9} 
     52\hypertarget{classKalman_67cccaf1c4dcdcd1df110e15ef326bfe}{ 
     53const \hyperlink{classepdf}{epdf} \& \hyperlink{classKalman_67cccaf1c4dcdcd1df110e15ef326bfe}{\_\-epdf} () const } 
     54\label{classKalman_67cccaf1c4dcdcd1df110e15ef326bfe} 
     55 
     56\begin{CompactList}\small\item\em access function \item\end{CompactList}\item  
     57\hypertarget{classKalman_980fcd41c6c548c5da7b8b67c8e6da79}{ 
     58mat \& \hyperlink{classKalman_980fcd41c6c548c5da7b8b67c8e6da79}{\_\-\_\-K} ()} 
     59\label{classKalman_980fcd41c6c548c5da7b8b67c8e6da79} 
     60 
     61\begin{CompactList}\small\item\em access function \item\end{CompactList}\item  
     62\hypertarget{classKalman_ac9540f3850b74d89a5fe4db6fc358ce}{ 
     63vec \hyperlink{classKalman_ac9540f3850b74d89a5fe4db6fc358ce}{\_\-dP} ()} 
     64\label{classKalman_ac9540f3850b74d89a5fe4db6fc358ce} 
     65 
     66\begin{CompactList}\small\item\em access function \item\end{CompactList}\item  
     67\hypertarget{classBM_0186270f75189677f390fe088a9947e9}{ 
     68virtual void \hyperlink{classBM_0186270f75189677f390fe088a9947e9}{bayesB} (const mat \&Dt)} 
     69\label{classBM_0186270f75189677f390fe088a9947e9} 
    4170 
    4271\begin{CompactList}\small\item\em Batch Bayes rule (columns of Dt are observations). \item\end{CompactList}\item  
    43 {\bf epdf} \& {\bf \_\-epdf} ()\label{classKalman_a213c57aef55b2645e550bed81cfc0d4} 
    44  
    45 \begin{CompactList}\small\item\em access function \item\end{CompactList}\item  
    46 mat \& {\bf \_\-\_\-K} ()\label{classKalman_980fcd41c6c548c5da7b8b67c8e6da79} 
    47  
    48 \begin{CompactList}\small\item\em access function \item\end{CompactList}\item  
    49 vec {\bf \_\-dP} ()\label{classKalman_ac9540f3850b74d89a5fe4db6fc358ce} 
    50  
    51 \begin{CompactList}\small\item\em access function \item\end{CompactList}\item  
    52 const {\bf RV} \& {\bf \_\-rv} () const \label{classBM_126bd2595c48e311fc2a7ab72876092a} 
    53  
    54 \begin{CompactList}\small\item\em access function \item\end{CompactList}\item  
    55 double {\bf \_\-ll} () const \label{classBM_87f4a547d2c29180be88175e5eab9c88} 
    56  
    57 \begin{CompactList}\small\item\em access function \item\end{CompactList}\end{CompactItemize} 
     72virtual double \hyperlink{classBM_8a8ce6df431689964c41cc6c849cfd06}{logpred} (const vec \&dt) const  
     73\item  
     74\hypertarget{classBM_126bd2595c48e311fc2a7ab72876092a}{ 
     75const \hyperlink{classRV}{RV} \& \hyperlink{classBM_126bd2595c48e311fc2a7ab72876092a}{\_\-rv} () const } 
     76\label{classBM_126bd2595c48e311fc2a7ab72876092a} 
     77 
     78\begin{CompactList}\small\item\em access function \item\end{CompactList}\item  
     79\hypertarget{classBM_87f4a547d2c29180be88175e5eab9c88}{ 
     80double \hyperlink{classBM_87f4a547d2c29180be88175e5eab9c88}{\_\-ll} () const } 
     81\label{classBM_87f4a547d2c29180be88175e5eab9c88} 
     82 
     83\begin{CompactList}\small\item\em access function \item\end{CompactList}\item  
     84\hypertarget{classBM_1ffa9f23669aabecc3760c06c6987522}{ 
     85void \hyperlink{classBM_1ffa9f23669aabecc3760c06c6987522}{set\_\-evalll} (bool evl0)} 
     86\label{classBM_1ffa9f23669aabecc3760c06c6987522} 
     87 
     88\begin{CompactList}\small\item\em access function \item\end{CompactList}\item  
     89virtual \hyperlink{classBM}{BM} $\ast$ \hyperlink{classBM_eb58c81d6a7b75b05fc6f276eed78887}{\_\-copy\_\-} (bool changerv=false) 
     90\end{CompactItemize} 
    5891\subsection*{Protected Attributes} 
    5992\begin{CompactItemize} 
    6093\item  
    61 mat {\bf preA}\label{classKalmanCh_94ee9da75b0e0f632e4a354988ca3798} 
     94\hypertarget{classKalmanCh_94ee9da75b0e0f632e4a354988ca3798}{ 
     95mat \hyperlink{classKalmanCh_94ee9da75b0e0f632e4a354988ca3798}{preA}} 
     96\label{classKalmanCh_94ee9da75b0e0f632e4a354988ca3798} 
    6297 
    6398\begin{CompactList}\small\item\em pre array (triangular matrix) \item\end{CompactList}\item  
    64 mat {\bf postA}\label{classKalmanCh_0d31a26dc72b5846cfe5af3ccb63ac87} 
     99\hypertarget{classKalmanCh_0d31a26dc72b5846cfe5af3ccb63ac87}{ 
     100mat \hyperlink{classKalmanCh_0d31a26dc72b5846cfe5af3ccb63ac87}{postA}} 
     101\label{classKalmanCh_0d31a26dc72b5846cfe5af3ccb63ac87} 
    65102 
    66103\begin{CompactList}\small\item\em post array (triangular matrix) \item\end{CompactList}\item  
    67 {\bf RV} {\bf rvy}\label{classKalman_7501230c2fafa3655887d2da23b3184c} 
     104\hypertarget{classKalman_7501230c2fafa3655887d2da23b3184c}{ 
     105\hyperlink{classRV}{RV} \hyperlink{classKalman_7501230c2fafa3655887d2da23b3184c}{rvy}} 
     106\label{classKalman_7501230c2fafa3655887d2da23b3184c} 
    68107 
    69108\begin{CompactList}\small\item\em Indetifier of output rv. \item\end{CompactList}\item  
    70 {\bf RV} {\bf rvu}\label{classKalman_44a16ffd5ac1e6e39bae34fea9e1e498} 
     109\hypertarget{classKalman_44a16ffd5ac1e6e39bae34fea9e1e498}{ 
     110\hyperlink{classRV}{RV} \hyperlink{classKalman_44a16ffd5ac1e6e39bae34fea9e1e498}{rvu}} 
     111\label{classKalman_44a16ffd5ac1e6e39bae34fea9e1e498} 
    71112 
    72113\begin{CompactList}\small\item\em Indetifier of exogeneous rv. \item\end{CompactList}\item  
    73 int {\bf dimx}\label{classKalman_39c8c403b46fa3b8c7da77cb2e3729eb} 
     114\hypertarget{classKalman_39c8c403b46fa3b8c7da77cb2e3729eb}{ 
     115int \hyperlink{classKalman_39c8c403b46fa3b8c7da77cb2e3729eb}{dimx}} 
     116\label{classKalman_39c8c403b46fa3b8c7da77cb2e3729eb} 
    74117 
    75118\begin{CompactList}\small\item\em cache of rv.count() \item\end{CompactList}\item  
    76 int {\bf dimy}\label{classKalman_ba17b956df1e38b31fbbc299c8213b6a} 
     119\hypertarget{classKalman_ba17b956df1e38b31fbbc299c8213b6a}{ 
     120int \hyperlink{classKalman_ba17b956df1e38b31fbbc299c8213b6a}{dimy}} 
     121\label{classKalman_ba17b956df1e38b31fbbc299c8213b6a} 
    77122 
    78123\begin{CompactList}\small\item\em cache of rvy.count() \item\end{CompactList}\item  
    79 int {\bf dimu}\label{classKalman_b0153795a1444b6968a86409c778d9ce} 
     124\hypertarget{classKalman_b0153795a1444b6968a86409c778d9ce}{ 
     125int \hyperlink{classKalman_b0153795a1444b6968a86409c778d9ce}{dimu}} 
     126\label{classKalman_b0153795a1444b6968a86409c778d9ce} 
    80127 
    81128\begin{CompactList}\small\item\em cache of rvu.count() \item\end{CompactList}\item  
    82 mat {\bf A}\label{classKalman_5e02efe86ee91e9c74b93b425fe060b9} 
     129\hypertarget{classKalman_5e02efe86ee91e9c74b93b425fe060b9}{ 
     130mat \hyperlink{classKalman_5e02efe86ee91e9c74b93b425fe060b9}{A}} 
     131\label{classKalman_5e02efe86ee91e9c74b93b425fe060b9} 
    83132 
    84133\begin{CompactList}\small\item\em Matrix A. \item\end{CompactList}\item  
    85 mat {\bf B}\label{classKalman_dc87704284a6c0bca13bf51f4345a50a} 
     134\hypertarget{classKalman_dc87704284a6c0bca13bf51f4345a50a}{ 
     135mat \hyperlink{classKalman_dc87704284a6c0bca13bf51f4345a50a}{B}} 
     136\label{classKalman_dc87704284a6c0bca13bf51f4345a50a} 
    86137 
    87138\begin{CompactList}\small\item\em Matrix B. \item\end{CompactList}\item  
    88 mat {\bf C}\label{classKalman_86a805cd6515872d1132ad0d6eb5dc13} 
     139\hypertarget{classKalman_86a805cd6515872d1132ad0d6eb5dc13}{ 
     140mat \hyperlink{classKalman_86a805cd6515872d1132ad0d6eb5dc13}{C}} 
     141\label{classKalman_86a805cd6515872d1132ad0d6eb5dc13} 
    89142 
    90143\begin{CompactList}\small\item\em Matrix C. \item\end{CompactList}\item  
    91 mat {\bf D}\label{classKalman_d69f774ba3335c970c1c5b1d182f4dd1} 
     144\hypertarget{classKalman_d69f774ba3335c970c1c5b1d182f4dd1}{ 
     145mat \hyperlink{classKalman_d69f774ba3335c970c1c5b1d182f4dd1}{D}} 
     146\label{classKalman_d69f774ba3335c970c1c5b1d182f4dd1} 
    92147 
    93148\begin{CompactList}\small\item\em Matrix D. \item\end{CompactList}\item  
    94 {\bf chmat} {\bf Q}\label{classKalman_9b69015c800eb93f3ee49da23a6f55d9} 
     149\hypertarget{classKalman_9b69015c800eb93f3ee49da23a6f55d9}{ 
     150\hyperlink{classchmat}{chmat} \hyperlink{classKalman_9b69015c800eb93f3ee49da23a6f55d9}{Q}} 
     151\label{classKalman_9b69015c800eb93f3ee49da23a6f55d9} 
    95152 
    96153\begin{CompactList}\small\item\em Matrix Q in square-root form. \item\end{CompactList}\item  
    97 {\bf chmat} {\bf R}\label{classKalman_11d171dc0e0ab111c56a70f98b97b3ec} 
     154\hypertarget{classKalman_11d171dc0e0ab111c56a70f98b97b3ec}{ 
     155\hyperlink{classchmat}{chmat} \hyperlink{classKalman_11d171dc0e0ab111c56a70f98b97b3ec}{R}} 
     156\label{classKalman_11d171dc0e0ab111c56a70f98b97b3ec} 
    98157 
    99158\begin{CompactList}\small\item\em Matrix R in square-root form. \item\end{CompactList}\item  
    100 {\bf enorm}$<$ {\bf chmat} $>$ {\bf est}\label{classKalman_5568c74bac67ae6d3b1061dba60c9424} 
     159\hypertarget{classKalman_5568c74bac67ae6d3b1061dba60c9424}{ 
     160\hyperlink{classenorm}{enorm}$<$ \hyperlink{classchmat}{chmat} $>$ \hyperlink{classKalman_5568c74bac67ae6d3b1061dba60c9424}{est}} 
     161\label{classKalman_5568c74bac67ae6d3b1061dba60c9424} 
    101162 
    102163\begin{CompactList}\small\item\em posterior density on \$x\_\-t\$ \item\end{CompactList}\item  
    103 {\bf enorm}$<$ {\bf chmat} $>$ {\bf fy}\label{classKalman_e580ab06483952bd03f2e651763e184f} 
     164\hypertarget{classKalman_e580ab06483952bd03f2e651763e184f}{ 
     165\hyperlink{classenorm}{enorm}$<$ \hyperlink{classchmat}{chmat} $>$ \hyperlink{classKalman_e580ab06483952bd03f2e651763e184f}{fy}} 
     166\label{classKalman_e580ab06483952bd03f2e651763e184f} 
    104167 
    105168\begin{CompactList}\small\item\em preditive density on \$y\_\-t\$ \item\end{CompactList}\item  
    106 mat {\bf \_\-K}\label{classKalman_d422f51467c7a06174af2476d2826132} 
    107  
    108 \begin{CompactList}\small\item\em placeholder for \doxyref{Kalman}{p.}{classKalman} gain \item\end{CompactList}\item  
    109 vec \& {\bf \_\-yp}\label{classKalman_764bbc95238eda11fc81c5ebd0b1dcfd} 
     169\hypertarget{classKalman_d422f51467c7a06174af2476d2826132}{ 
     170mat \hyperlink{classKalman_d422f51467c7a06174af2476d2826132}{\_\-K}} 
     171\label{classKalman_d422f51467c7a06174af2476d2826132} 
     172 
     173\begin{CompactList}\small\item\em placeholder for \hyperlink{classKalman}{Kalman} gain \item\end{CompactList}\item  
     174\hypertarget{classKalman_764bbc95238eda11fc81c5ebd0b1dcfd}{ 
     175vec \& \hyperlink{classKalman_764bbc95238eda11fc81c5ebd0b1dcfd}{\_\-yp}} 
     176\label{classKalman_764bbc95238eda11fc81c5ebd0b1dcfd} 
    110177 
    111178\begin{CompactList}\small\item\em cache of fy.mu \item\end{CompactList}\item  
    112 {\bf chmat} \& {\bf \_\-Ry}\label{classKalman_45c9f928d2d62e0c884900fb3380f904} 
     179\hypertarget{classKalman_45c9f928d2d62e0c884900fb3380f904}{ 
     180\hyperlink{classchmat}{chmat} \& \hyperlink{classKalman_45c9f928d2d62e0c884900fb3380f904}{\_\-Ry}} 
     181\label{classKalman_45c9f928d2d62e0c884900fb3380f904} 
    113182 
    114183\begin{CompactList}\small\item\em cache of fy.R \item\end{CompactList}\item  
    115 vec \& {\bf \_\-mu}\label{classKalman_fe803a81d2d847b0b1db3c6b29c18061} 
     184\hypertarget{classKalman_fe803a81d2d847b0b1db3c6b29c18061}{ 
     185vec \& \hyperlink{classKalman_fe803a81d2d847b0b1db3c6b29c18061}{\_\-mu}} 
     186\label{classKalman_fe803a81d2d847b0b1db3c6b29c18061} 
    116187 
    117188\begin{CompactList}\small\item\em cache of est.mu \item\end{CompactList}\item  
    118 {\bf chmat} \& {\bf \_\-P}\label{classKalman_9fb808cc94a4c2652e1fb93be9bb7dcf} 
     189\hypertarget{classKalman_9fb808cc94a4c2652e1fb93be9bb7dcf}{ 
     190\hyperlink{classchmat}{chmat} \& \hyperlink{classKalman_9fb808cc94a4c2652e1fb93be9bb7dcf}{\_\-P}} 
     191\label{classKalman_9fb808cc94a4c2652e1fb93be9bb7dcf} 
    119192 
    120193\begin{CompactList}\small\item\em cache of est.R \item\end{CompactList}\item  
    121 {\bf RV} {\bf rv}\label{classBM_af00f0612fabe66241dd507188cdbf88} 
     194\hypertarget{classBM_af00f0612fabe66241dd507188cdbf88}{ 
     195\hyperlink{classRV}{RV} \hyperlink{classBM_af00f0612fabe66241dd507188cdbf88}{rv}} 
     196\label{classBM_af00f0612fabe66241dd507188cdbf88} 
    122197 
    123198\begin{CompactList}\small\item\em Random variable of the posterior. \item\end{CompactList}\item  
    124 double {\bf ll}\label{classBM_5623fef6572a08c2b53b8c87b82dc979} 
     199\hypertarget{classBM_5623fef6572a08c2b53b8c87b82dc979}{ 
     200double \hyperlink{classBM_5623fef6572a08c2b53b8c87b82dc979}{ll}} 
     201\label{classBM_5623fef6572a08c2b53b8c87b82dc979} 
    125202 
    126203\begin{CompactList}\small\item\em Logarithm of marginalized data likelihood. \item\end{CompactList}\item  
    127 bool {\bf evalll}\label{classBM_bf6fb59b30141074f8ee1e2f43d03129} 
    128  
    129 \begin{CompactList}\small\item\em If true, the filter will compute likelihood of the data record and store it in {\tt ll} . Set to false if you want to save time. \item\end{CompactList}\end{CompactItemize} 
     204\hypertarget{classBM_bf6fb59b30141074f8ee1e2f43d03129}{ 
     205bool \hyperlink{classBM_bf6fb59b30141074f8ee1e2f43d03129}{evalll}} 
     206\label{classBM_bf6fb59b30141074f8ee1e2f43d03129} 
     207 
     208\begin{CompactList}\small\item\em If true, the filter will compute likelihood of the data record and store it in {\tt ll} . Set to false if you want to save computational time. \item\end{CompactList}\end{CompactItemize} 
    130209 
    131210 
    132211\subsection{Detailed Description} 
    133 Extended \doxyref{Kalman}{p.}{classKalman} Filter in Square root.  
     212Extended \hyperlink{classKalman}{Kalman} Filter in Square root.  
    134213 
    135214An approximation of the exact Bayesian filter with Gaussian noices and non-linear evolutions of their mean.  
    136215 
     216\subsection{Member Function Documentation} 
     217\hypertarget{classBM_8a8ce6df431689964c41cc6c849cfd06}{ 
     218\index{EKFCh@{EKFCh}!logpred@{logpred}} 
     219\index{logpred@{logpred}!EKFCh@{EKFCh}} 
     220\subsubsection[logpred]{\setlength{\rightskip}{0pt plus 5cm}virtual double BM::logpred (const vec \& {\em dt}) const\hspace{0.3cm}{\tt  \mbox{[}inline, virtual, inherited\mbox{]}}}} 
     221\label{classBM_8a8ce6df431689964c41cc6c849cfd06} 
     222 
     223 
     224Evaluates predictive log-likelihood of the given data record I.e. marginal likelihood of the data with the posterior integrated out.  
     225 
     226Reimplemented in \hyperlink{classARX_e7f9e7823aec9bf7ddc3b42d9b3304c4}{ARX}, \hyperlink{classMixEF_424ca64f36d4e41de7a7e7ae921d35ea}{MixEF}, and \hyperlink{classmultiBM_13e26a61757278981fd8cac9a7ef91eb}{multiBM}.\hypertarget{classBM_eb58c81d6a7b75b05fc6f276eed78887}{ 
     227\index{EKFCh@{EKFCh}!\_\-copy\_\-@{\_\-copy\_\-}} 
     228\index{\_\-copy\_\-@{\_\-copy\_\-}!EKFCh@{EKFCh}} 
     229\subsubsection[\_\-copy\_\-]{\setlength{\rightskip}{0pt plus 5cm}virtual {\bf BM}$\ast$ BM::\_\-copy\_\- (bool {\em changerv} = {\tt false})\hspace{0.3cm}{\tt  \mbox{[}inline, virtual, inherited\mbox{]}}}} 
     230\label{classBM_eb58c81d6a7b75b05fc6f276eed78887} 
     231 
     232 
     233Copy function required in vectors, Arrays of \hyperlink{classBM}{BM} etc. Have to be DELETED manually! Prototype: BM$\ast$ \hyperlink{classBM_eb58c81d6a7b75b05fc6f276eed78887}{\_\-copy\_\-()}\{\hyperlink{classBM}{BM} Tmp$\ast$=new Tmp(this$\ast$); return Tmp; \}  
     234 
     235Reimplemented in \hyperlink{classARX_d2751057811c6fb8f4ff86e1648bcddc}{ARX}. 
     236 
     237Referenced by MixEF::MixEF(). 
     238 
    137239The documentation for this class was generated from the following files:\begin{CompactItemize} 
    138240\item  
    139 work/git/mixpp/bdm/estim/{\bf libKF.h}\item  
     241work/git/mixpp/bdm/estim/\hyperlink{libKF_8h}{libKF.h}\item  
    140242work/git/mixpp/bdm/estim/libKF.cpp\end{CompactItemize}