| 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::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_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::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::FileDS | |
| bdm::fnc | Class representing function of variable represented by rv |
| fsqmat | Fake sqmat. This class maps sqmat operations to operations on full matrix |
| 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::iW | |
| 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 |
| 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 |
| 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 | |
| UImgnorm | |
| UImigamma_ref | |
| UImlognorm | |
| UIpmsmDS | UI for pmsmDS, |
| UIpmsmOM | UI for pmsm observation model |
| UIrv | UI for class RV (description of data vectors) |
| UIstateDS |
1.5.6