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 |