Changeset 79 for doc/latex/annotated.tex
- Timestamp:
- 04/18/08 14:03:19 (17 years ago)
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doc/latex/annotated.tex
r37 r79 1 1 \section{mixpp Class List} 2 2 Here are the classes, structs, unions and interfaces with brief descriptions:\begin{CompactList} 3 \item\contentsline{section}{{\bf ARX} (Ligear-Gaussian autoregressive model )}{\pageref{classARX}}{} 3 4 \item\contentsline{section}{{\bf bilinfn} (Class representing function \$f(x,u) = Ax+Bu\$ )}{\pageref{classbilinfn}}{} 4 5 \item\contentsline{section}{{\bf BM} (Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities )}{\pageref{classBM}}{} … … 13 14 \item\contentsline{section}{{\bf EKF$<$ sq\_\-T $>$} (Extended \doxyref{Kalman}{p.}{classKalman} Filter )}{\pageref{classEKF}}{} 14 15 \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}}{} 15 19 \item\contentsline{section}{{\bf enorm$<$ sq\_\-T $>$} (Gaussian density with positive definite (decomposed) covariance matrix )}{\pageref{classenorm}}{} 16 20 \item\contentsline{section}{{\bf epdf} (Probability density function with numerical statistics, e.g. posterior density )}{\pageref{classepdf}}{} … … 30 34 \item\contentsline{section}{{\bf MemDS} (Class representing off-line data stored in memory )}{\pageref{classMemDS}}{} 31 35 \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}}{} 32 37 \item\contentsline{section}{{\bf mlnorm$<$ sq\_\-T $>$} (Normal distributed linear function with linear function of mean value; )}{\pageref{classmlnorm}}{} 33 38 \item\contentsline{section}{{\bf mpdf} (Conditional probability density, e.g. modeling some dependencies )}{\pageref{classmpdf}}{} … … 37 42 \item\contentsline{section}{{\bf RV} (Class representing variables, most often random variables )}{\pageref{classRV}}{} 38 43 \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}}{} 39 50 \end{CompactList}