| CI_scheme(std::size_t x_size, std::size_t z_initialsize=0) | Bayesian_filter::CI_scheme | |
| error(const Numeric_exception &a) | Bayesian_filter::Bayes_base | static |
| error(const Logic_exception &a) | Bayesian_filter::Bayes_base | static |
| Extended_kalman_filter() | Bayesian_filter::Extended_kalman_filter | inlineprotected |
| Float typedef | Bayesian_filter::Bayes_base | |
| init() | Bayesian_filter::CI_scheme | virtual |
| init_kalman(const FM::Vec &x, const FM::SymMatrix &X) | Bayesian_filter::Kalman_state_filter | |
| Kalman_state_filter(std::size_t x_size) | Bayesian_filter::Kalman_state_filter | |
| last_z_size | Bayesian_filter::CI_scheme | protected |
| Linrz_kalman_filter() | Bayesian_filter::Linrz_kalman_filter | inlineprotected |
| observe(Linrz_uncorrelated_observe_model &h, const FM::Vec &z) | Bayesian_filter::Extended_kalman_filter | virtual |
| observe(Linrz_correlated_observe_model &h, const FM::Vec &z) | Bayesian_filter::Extended_kalman_filter | virtual |
| observe_innovation(Linrz_uncorrelated_observe_model &h, const FM::Vec &s) | Bayesian_filter::CI_scheme | virtual |
| observe_innovation(Linrz_correlated_observe_model &h, const FM::Vec &s) | Bayesian_filter::CI_scheme | virtual |
| observe_size(std::size_t z_size) | Bayesian_filter::CI_scheme | protected |
| Omega(const FM::SymMatrix &Ai, const FM::SymMatrix &Bi, const FM::SymMatrix &A) | Bayesian_filter::CI_scheme | inlinevirtual |
| operator=(const CI_scheme &) | Bayesian_filter::CI_scheme | |
| predict(Linrz_predict_model &f) | Bayesian_filter::CI_scheme | virtual |
| rclimit | Bayesian_filter::Kalman_state_filter | |
| S | Bayesian_filter::CI_scheme | |
| SI | Bayesian_filter::CI_scheme | |
| State_filter(std::size_t x_size) | Bayesian_filter::State_filter | |
| update() | Bayesian_filter::CI_scheme | virtual |
| X | Bayesian_filter::Kalman_state_filter | |
| x | Bayesian_filter::State_filter | |
| ~Bayes_base()=0 | Bayesian_filter::Bayes_base | pure virtual |
