# Class List

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

ARX | Linear Autoregressive model with Gaussian noise
AssertXercesIsAlive | Class initializing Xerces library
Attribute | Abstract class declaring general properties of a frame for data binding
bilinfn | Class representing function
BindingFrame | Abstract class declaring general properties of a frame for data binding
BM | Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities
BMcond | Conditional Bayesian Filter
BMEF | Estimator for Exponential family
chmat | Symmetric matrix stored in square root decomposition using upper cholesky
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
constfn | Class representing function , here `rv` is empty
diffbifn | Class representing a differentiable function of two variables
dirfilelog | Logging into dirfile with buffer in memory
DS | Abstract class for discrete-time sources of data
eDirich | Dirichlet posterior density
eEF | General conjugate exponential family posterior density
eEmp | Weighted empirical density
egamma | Gamma posterior density
egiw | Gauss-inverse-Wishart density stored in LD form
EKF< sq_T > | Extended Kalman Filter
EKF_unQ | Extended Kalman filter with unknown `Q`
EKFCh | Extended Kalman Filter in Square root
EKFfixed | Extended Kalman Filter with full matrices in fixed point arithmetic
EKFful_unQR | Extended Kalman filter with unknown `Q` and `R`
EKFfull | Extended Kalman Filter in full matrices
emix | Mixture of epdfs
enorm< sq_T > | Gaussian density with positive definite (decomposed) covariance matrix
epdf | Probability density function with numerical statistics, e.g. posterior density
eprod | Product of independent epdfs. For dependent pdfs, use mprod
euni | Uniform distributed density on a rectangular support
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
IMpmsm | 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.$
Kalman< sq_T > | Kalman filter with covariance matrices in square root form
KalmanCh | Kalman filter in square root form
KalmanFull | Basic Kalman filter with full matrices (education purpose only)! Will be deleted soon!
KFcondQR | Kalman Filter with conditional diagonal matrices R and Q
KFcondR | Kalman Filter with conditional diagonal matrices R and Q
ldmat | Matrix stored in LD form, (typically known as UD)
linfn | Class representing function
logger | Class for storing results (and semi-results) of an experiment
mEF | Exponential family model
MemDS | Class representing off-line data stored in memory
memlog | Logging into matrices in data format in memory
mepdf | Unconditional mpdf, allows using epdf in the role of mpdf
merger | Function for general combination of pdfs
mgamma | Gamma random walk
mgamma_fix | Gamma random walk around a fixed point
MixEF | Mixture of Exponential Family Densities
mlnorm< sq_T > | Normal distributed linear function with linear function of mean value;
mmix | Mixture of mpdfs with constant weights, all mpdfs are of equal type
mpdf | Conditional probability density, e.g. modeling some dependencies
MPF< BM_T > | Marginalized Particle filter
mprod | Chain rule decomposition of epdf
multiBM | Estimator for Multinomial density
OMpmsm | Observation model for PMSM drive and its derivative with respect to
PF | Trivial particle filter with proposal density equal to parameter evolution model
RootElement | This class serves to load and/or save DOMElements into/from files stored on a hard-disk
RV | Class representing variables, most often random variables
sqmat | Virtual class for representation of double symmetric matrices in square-root form
str | Structure of RV (used internally)
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>
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