Changeset 79 for doc/latex/annotated.tex

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Timestamp:
04/18/08 14:03:19 (17 years ago)
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smidl
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oprava dokumentace

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  • doc/latex/annotated.tex

    r37 r79  
    11\section{mixpp Class List} 
    22Here are the classes, structs, unions and interfaces with brief descriptions:\begin{CompactList} 
     3\item\contentsline{section}{{\bf ARX} (Ligear-Gaussian autoregressive model )}{\pageref{classARX}}{} 
    34\item\contentsline{section}{{\bf bilinfn} (Class representing function \$f(x,u) = Ax+Bu\$ )}{\pageref{classbilinfn}}{} 
    45\item\contentsline{section}{{\bf BM} (Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities )}{\pageref{classBM}}{} 
     
    1314\item\contentsline{section}{{\bf EKF$<$ sq\_\-T $>$} (Extended \doxyref{Kalman}{p.}{classKalman} Filter )}{\pageref{classEKF}}{} 
    1415\item\contentsline{section}{{\bf EKF\_\-unQ} (Extended \doxyref{Kalman}{p.}{classKalman} filter with unknown {\tt Q} )}{\pageref{classEKF__unQ}}{} 
     16\item\contentsline{section}{{\bf EKFCh} (Extended \doxyref{Kalman}{p.}{classKalman} Filter in Square root )}{\pageref{classEKFCh}}{} 
     17\item\contentsline{section}{{\bf EKFfixed} (Extended \doxyref{Kalman}{p.}{classKalman} Filter in full matrices )}{\pageref{classEKFfixed}}{} 
     18\item\contentsline{section}{{\bf EKFfull} (Extended \doxyref{Kalman}{p.}{classKalman} Filter in full matrices )}{\pageref{classEKFfull}}{} 
    1519\item\contentsline{section}{{\bf enorm$<$ sq\_\-T $>$} (Gaussian density with positive definite (decomposed) covariance matrix )}{\pageref{classenorm}}{} 
    1620\item\contentsline{section}{{\bf epdf} (Probability density function with numerical statistics, e.g. posterior density )}{\pageref{classepdf}}{} 
     
    3034\item\contentsline{section}{{\bf MemDS} (Class representing off-line data stored in memory )}{\pageref{classMemDS}}{} 
    3135\item\contentsline{section}{{\bf mgamma} (Gamma random walk )}{\pageref{classmgamma}}{} 
     36\item\contentsline{section}{{\bf mgamma\_\-fix} (Gamma random walk around a fixed point )}{\pageref{classmgamma__fix}}{} 
    3237\item\contentsline{section}{{\bf mlnorm$<$ sq\_\-T $>$} (Normal distributed linear function with linear function of mean value; )}{\pageref{classmlnorm}}{} 
    3338\item\contentsline{section}{{\bf mpdf} (Conditional probability density, e.g. modeling some dependencies )}{\pageref{classmpdf}}{} 
     
    3742\item\contentsline{section}{{\bf RV} (Class representing variables, most often random variables )}{\pageref{classRV}}{} 
    3843\item\contentsline{section}{{\bf sqmat} (Virtual class for representation of double symmetric matrices in square-root form )}{\pageref{classsqmat}}{} 
     44\item\contentsline{section}{{\bf uibase} (User Info base class )}{\pageref{classuibase}}{} 
     45\item\contentsline{section}{{\bf uicompound} (Compound user info )}{\pageref{classuicompound}}{} 
     46\item\contentsline{section}{{\bf uimatrix$<$ T $>$} (User info for matrices )}{\pageref{classuimatrix}}{} 
     47\item\contentsline{section}{{\bf uiscalar$<$ T $>$} (User info for scalars )}{\pageref{classuiscalar}}{} 
     48\item\contentsline{section}{{\bf uistring} (User info for strings )}{\pageref{classuistring}}{} 
     49\item\contentsline{section}{{\bf uivector$<$ T $>$} (User info for vectors )}{\pageref{classuivector}}{} 
    3950\end{CompactList}