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08/18/08 14:28:04 (16 years ago)
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smidl
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    r106 r140  
    22Here are the classes, structs, unions and interfaces with brief descriptions:\begin{CompactList} 
    33\item\contentsline{section}{{\bf ARX} (Linear Autoregressive model with Gaussian noise )}{\pageref{classARX}}{} 
     4\item\contentsline{section}{{\bf Attribute} (User Info base class )}{\pageref{classAttribute}}{} 
    45\item\contentsline{section}{{\bf bilinfn} (Class representing function $f(x,u) = Ax+Bu$ )}{\pageref{classbilinfn}}{} 
    56\item\contentsline{section}{{\bf BM} (Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities )}{\pageref{classBM}}{} 
    67\item\contentsline{section}{{\bf BMcond} (Conditional Bayesian Filter )}{\pageref{classBMcond}}{} 
     8\item\contentsline{section}{{\bf CarUI} (User info for strings )}{\pageref{classCarUI}}{} 
    79\item\contentsline{section}{{\bf chmat} (Symmetric matrix stored in square root decomposition using upper cholesky )}{\pageref{classchmat}}{} 
    810\item\contentsline{section}{{\bf constfn} (Class representing function $f(x) = a$, here {\tt rv} is empty )}{\pageref{classconstfn}}{} 
    911\item\contentsline{section}{{\bf diffbifn} (Class representing a differentiable function of two variables $f(x,u)$ )}{\pageref{classdiffbifn}}{} 
    1012\item\contentsline{section}{{\bf dirfilelog} (Logging into dirfile with buffer in memory )}{\pageref{classdirfilelog}}{} 
     13\item\contentsline{section}{{\bf DoubleAttribute} (Class encapsulating all the necessary stuff to work with the double attribute )}{\pageref{classDoubleAttribute}}{} 
    1114\item\contentsline{section}{{\bf DS} (Abstract class for discrete-time sources of data )}{\pageref{classDS}}{} 
    1215\item\contentsline{section}{{\bf eEF} (General conjugate exponential family posterior density )}{\pageref{classeEF}}{} 
     
    1821\item\contentsline{section}{{\bf EKFCh} (Extended \doxyref{Kalman}{p.}{classKalman} Filter in Square root )}{\pageref{classEKFCh}}{} 
    1922\item\contentsline{section}{{\bf EKFfixed} (Extended \doxyref{Kalman}{p.}{classKalman} Filter in full matrices )}{\pageref{classEKFfixed}}{} 
     23\item\contentsline{section}{{\bf EKFful\_\-unQR} (Extended \doxyref{Kalman}{p.}{classKalman} filter with unknown {\tt Q} and {\tt R} )}{\pageref{classEKFful__unQR}}{} 
    2024\item\contentsline{section}{{\bf EKFfull} (Extended \doxyref{Kalman}{p.}{classKalman} Filter in full matrices )}{\pageref{classEKFfull}}{} 
    2125\item\contentsline{section}{{\bf emix} (Mixture of epdfs )}{\pageref{classemix}}{} 
     26\item\contentsline{section}{{\bf EngineUI} (User info for strings )}{\pageref{classEngineUI}}{} 
    2227\item\contentsline{section}{{\bf enorm$<$ sq\_\-T $>$} (Gaussian density with positive definite (decomposed) covariance matrix )}{\pageref{classenorm}}{} 
    2328\item\contentsline{section}{{\bf epdf} (Probability density function with numerical statistics, e.g. posterior density )}{\pageref{classepdf}}{} 
     29\item\contentsline{section}{{\bf eprod} (Chain rule decomposition of \doxyref{epdf}{p.}{classepdf} )}{\pageref{classeprod}}{} 
    2430\item\contentsline{section}{{\bf euni} (Uniform distributed density on a rectangular support )}{\pageref{classeuni}}{} 
    2531\item\contentsline{section}{{\bf fnc} (Class representing function $f(x)$ of variable $x$ represented by {\tt rv} )}{\pageref{classfnc}}{} 
    2632\item\contentsline{section}{{\bf fsqmat} (Fake \doxyref{sqmat}{p.}{classsqmat}. This class maps \doxyref{sqmat}{p.}{classsqmat} operations to operations on full matrix )}{\pageref{classfsqmat}}{} 
    2733\item\contentsline{section}{{\bf itpp::Gamma\_\-RNG} (Gamma distribution )}{\pageref{classitpp_1_1Gamma__RNG}}{} 
     34\item\contentsline{section}{{\bf GlobalXercesConnector} (Xerces interface class )}{\pageref{classGlobalXercesConnector}}{} 
    2835\item\contentsline{section}{{\bf IMpmsm} (State evolution model for a PMSM drive and its derivative with respect to \$x\$ )}{\pageref{classIMpmsm}}{} 
     36\item\contentsline{section}{{\bf IntAttribute} (Class encapsulating all the necessary stuff to work with an int attribute )}{\pageref{classIntAttribute}}{} 
    2937\item\contentsline{section}{{\bf Kalman$<$ sq\_\-T $>$} (\doxyref{Kalman}{p.}{classKalman} filter with covariance matrices in square root form )}{\pageref{classKalman}}{} 
    3038\item\contentsline{section}{{\bf KalmanCh} (\doxyref{Kalman}{p.}{classKalman} filter in square root form )}{\pageref{classKalmanCh}}{} 
     
    3846\item\contentsline{section}{{\bf MemDS} (Class representing off-line data stored in memory )}{\pageref{classMemDS}}{} 
    3947\item\contentsline{section}{{\bf memlog} (Logging into matrices in data format in memory )}{\pageref{classmemlog}}{} 
     48\item\contentsline{section}{{\bf mepdf} (Unconditional \doxyref{mpdf}{p.}{classmpdf}, allows using \doxyref{epdf}{p.}{classepdf} in the role of \doxyref{mpdf}{p.}{classmpdf} )}{\pageref{classmepdf}}{} 
    4049\item\contentsline{section}{{\bf mgamma} (Gamma random walk )}{\pageref{classmgamma}}{} 
    4150\item\contentsline{section}{{\bf mgamma\_\-fix} (Gamma random walk around a fixed point )}{\pageref{classmgamma__fix}}{} 
    4251\item\contentsline{section}{{\bf mlnorm$<$ sq\_\-T $>$} (Normal distributed linear function with linear function of mean value; )}{\pageref{classmlnorm}}{} 
     52\item\contentsline{section}{{\bf mmix} (Mixture of mpdfs with constant weights )}{\pageref{classmmix}}{} 
    4353\item\contentsline{section}{{\bf mpdf} (Conditional probability density, e.g. modeling some dependencies )}{\pageref{classmpdf}}{} 
    4454\item\contentsline{section}{{\bf MPF$<$ BM\_\-T $>$} (Marginalized Particle filter )}{\pageref{classMPF}}{} 
     
    4757\item\contentsline{section}{{\bf RV} (Class representing variables, most often random variables )}{\pageref{classRV}}{} 
    4858\item\contentsline{section}{{\bf sqmat} (Virtual class for representation of double symmetric matrices in square-root form )}{\pageref{classsqmat}}{} 
    49 \item\contentsline{section}{{\bf uibase} (User Info base class )}{\pageref{classuibase}}{} 
    50 \item\contentsline{section}{{\bf uimatrix$<$ T $>$} (User info for matrices )}{\pageref{classuimatrix}}{} 
    51 \item\contentsline{section}{{\bf uiscalar$<$ T $>$} (User info for scalars )}{\pageref{classuiscalar}}{} 
    52 \item\contentsline{section}{{\bf uistring} (User info for strings )}{\pageref{classuistring}}{} 
    53 \item\contentsline{section}{{\bf uivector$<$ T $>$} (User info for vectors )}{\pageref{classuivector}}{} 
     59\item\contentsline{section}{{\bf StringAttribute} (Class encapsulating all the necessary stuff to work with a string attribute )}{\pageref{classStringAttribute}}{} 
     60\item\contentsline{section}{{\bf UserInfo$<$ T $>$} (The main user info template class )}{\pageref{classUserInfo}}{} 
     61\item\contentsline{section}{{\bf UserInfoCore} (\doxyref{UserInfoCore}{p.}{classUserInfoCore} class is for internal purposes only. Use UserInfo$<$T$>$ instead )}{\pageref{classUserInfoCore}}{} 
    5462\end{CompactList}