Class List

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

bdm::ARX	Linear Autoregressive model with Gaussian noise
bdm::ArxDS	Generator of ARX data
bdm::bdmroot	Root class of BDM objects
bdm::bilinfn	Class representing function
bdm::BM	Bayesian Model of a system, i.e. all uncertainty is modeled by probabilities
bdm::BMEF	Estimator for Exponential family
chmat	Symmetric matrix stored in square root decomposition using upper cholesky
bdm::compositepdf	Abstract composition of pdfs, will be used for specific classes this abstract class is common to epdf and mpdf
bdm::constfn	Class representing function , here rv is empty
bdm::CsvFileDS	CSV file data storage The constructor creates Data matrix from the records in a CSV file fname. The orientation can be of two types: 1. BY_COL which is default - the data are stored in columns; one column per time , one row per data item. 2. BY_ROW if the data are stored the classical CSV style. Then each column stores the values for data item, for ex. , one row for each discrete time instant
bdm::datalink	DataLink is a connection between two data vectors Up and Down
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_chQ	Extended Kalman filter in Choleski form with unknown Q
EKFCh_cond	Extended Kalman filter with unknown Q
bdm::EKFCh_cond	Extended Kalman filter with unknown parameters in IM
bdm::EKFCh_dQ	Extended Kalman filter in Choleski form with unknown diagonal Q
EKFCh_du_kQ	Extended Kalman filter with unknown Q and delta u
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::elognorm
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::eWishartCh
bdm::FileDS
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::ItppFileDS	Read Data Matrix from an IT file
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	Memory storage of off-line data column-wise
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::mgnorm< sq_T >	Mpdf with general function for mean value
bdm::migamma	Inverse-Gamma random walk
bdm::migamma_ref	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::mlognorm	Log-Normal random walk
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
pmsmCRB	This class behaves like BM but it is evaluating EKF
pmsmDS	Simulator of PMSM machine with predefined profile on omega
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
UIARX
UIArxDS
bdm::UIbuilder	Builds computational object from a UserInfo structure
UIdirfilelog	UI for dirfilelog (Kst file format)
bdm::UIexternal
bdm::UIinternal
UImexDS	Create memory data source from mxArray
UImgnorm
UImigamma_ref
UImlognorm
UIMPF
UIpmsmDS	UI for pmsmDS,
UIpmsmOM	UI for pmsm observation model
UIrv	UI for class RV (description of data vectors)
UIstateDS