Class List

Here are the classes, structs, unions and interfaces with brief descriptions:

bdm::ARX	Linear Autoregressive model with Gaussian noise
AssertXercesIsAlive	Class initializing Xerces library
Attribute	Abstract class declaring general properties of a frame for data binding
bdm::base	Root class of BDM objects
bdm::bilinfn	Class representing function
BindingFrame	Abstract class declaring general properties of a frame for data binding
bdm::BM	Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities
bdm::BMcond	Conditional Bayesian Filter
bdm::BMEF	Estimator for Exponential family
chmat	Symmetric matrix stored in square root decomposition using upper cholesky
bdm::compositepdf	Abstract composition of pdfs, a base for specific classes this abstract class is common to epdf and mpdf
CompoundUserInfo< T >	The main userinfo template class. You should derive this class whenever you need a new userinfo of a class which is compound from smaller elements (all having its own userinfo class prepared)
CompoundUserInfo< T >::BindedElement< U >	Templated class binding inner element with its XML tag and automating data transfers in both directions
bdm::constfn	Class representing function , here rv is empty
bdm::datalink_e2e
bdm::datalink_m2e	Data link between
bdm::datalink_m2m
bdm::diffbifn	Class representing a differentiable function of two variables
bdm::dirfilelog	Logging into dirfile with buffer in memory
bdm::DS	Abstract class for discrete-time sources of data
bdm::eDirich	Dirichlet posterior density
bdm::eEF	General conjugate exponential family posterior density
bdm::eEmp	Weighted empirical density
bdm::egamma	Gamma posterior density
bdm::egiw	Gauss-inverse-Wishart density stored in LD form
bdm::eigamma	Inverse-Gamma posterior density
bdm::EKF< sq_T >	Extended Kalman Filter
EKF_unQ	Extended Kalman filter with unknown Q
bdm::EKFCh	Extended Kalman Filter in Square root
bdm::EKFCh_cond	Extended Kalman filter with unknown parameters in IM
EKFCh_cond	Extended Kalman filter with unknown Q
EKFCh_du_kQ	Extended Kalman filter with unknown Q and delta u
bdm::EKFCh_unQ	Extended Kalman filter in Choleski form with unknown Q
EKFfixed	Extended Kalman Filter with full matrices in fixed point arithmetic
bdm::EKFful_unQR	Extended Kalman filter with unknown Q and R
bdm::EKFfull	Extended Kalman Filter in full matrices
bdm::emix	Mixture of epdfs
bdm::enorm< sq_T >	Gaussian density with positive definite (decomposed) covariance matrix
bdm::epdf	Probability density function with numerical statistics, e.g. posterior density
bdm::eprod	Product of independent epdfs. For dependent pdfs, use mprod
bdm::euni	Uniform distributed density on a rectangular support
bdm::fnc	Class representing function of variable represented by rv
fsqmat	Fake sqmat. This class maps sqmat operations to operations on full matrix
itpp::Gamma_RNG	Gamma distribution
IMk1	Model stredni hodnoty vyvoje stavu pro k1
IMpmsm	State evolution model for a PMSM drive and its derivative with respect to
IMpmsm2o	State evolution model for a PMSM drive and its derivative with respect to
IMpmsmStat	State evolution model for a PMSM drive and its derivative with respect to , equation for is omitted.$
bdm::Kalman< sq_T >	Kalman filter with covariance matrices in square root form
bdm::KalmanCh	Kalman filter in square root form
bdm::KalmanFull	Basic Kalman filter with full matrices (education purpose only)! Will be deleted soon!
bdm::KFcondQR	Kalman Filter with conditional diagonal matrices R and Q
bdm::KFcondR	Kalman Filter with conditional diagonal matrices R and Q
ldmat	Matrix stored in LD form, (commonly known as UD)
bdm::linfn	Class representing function
bdm::logger	Class for storing results (and semi-results) of an experiment
bdm::mEF	Exponential family model
bdm::MemDS	Class representing off-line data stored in memory
bdm::memlog	Logging into matrices in data format in memory
bdm::mepdf	Unconditional mpdf, allows using epdf in the role of mpdf
bdm::merger	Function for general combination of pdfs
bdm::mgamma	Gamma random walk
bdm::mgamma_fix	Gamma random walk around a fixed point
bdm::migamma	Inverse-Gamma random walk
bdm::migamma_fix	Inverse-Gamma random walk around a fixed point
bdm::MixEF	Mixture of Exponential Family Densities
bdm::mlnorm< sq_T >	Normal distributed linear function with linear function of mean value;
bdm::mlstudent
bdm::mmix	Mixture of mpdfs with constant weights, all mpdfs are of equal type
bdm::mpdf	Conditional probability density, e.g. modeling some dependencies
bdm::MPF< BM_T >	Marginalized Particle filter
bdm::mprod	Chain rule decomposition of epdf
bdm::mratio	Class representing ratio of two densities which arise e.g. by applying the Bayes rule. It represents density in the form: where
bdm::multiBM	Estimator for Multinomial density
OMk1	Model stredni hodnoty pozorovani pro k1
OMpmsm	Observation model for PMSM drive and its derivative with respect to
bdm::PF	Trivial particle filter with proposal density equal to parameter evolution model
pmsmDS	Simulator of PMSM machine with predefined profile on omega
RootElement	This class serves to load and/or save DOMElements into/from files stored on a hard-disk
bdm::RV	Class representing variables, most often random variables
sqmat	Virtual class for representation of double symmetric matrices in square-root form
bdm::str	Structure of RV (used internally), i.e. expanded RVs
TypedUserInfo< T >	TypeUserInfo is still an abstract class, but contrary to the UserInfo class it is already templated. It serves as a bridge to non-abstract classes CompoundUserInfo<T> or ValuedUserInfo<T>
bdm::UIbuilder	Builds computational object from a UserInfo structure
UserInfo	UserInfo is an abstract is for internal purposes only. Use CompoundUserInfo<T> or ValuedUserInfo<T> instead. The raison d'etre of this class is to allow pointers to its templated descendants
ValuedUserInfo< T >	The main userinfo template class. It should be derived whenever you need a new userinfo of a class which does not contain any subelements. It is the case of basic classes(or types) like int, string, double, etc