| copy_resamples(FM::ColMatrix &P, const Importance_resampler::Resamples_t &presamples) | Bayesian_filter::SIR_scheme | [static] |
| error(const Numeric_exception &a) | Bayesian_filter::Bayes_base | [static] |
| error(const Logic_exception &a) | Bayesian_filter::Bayes_base | [static] |
| Filter_scheme(std::size_t x_size, std::size_t s_size, SIR_random &random_helper) | Bayesian_filter::Filter_scheme< SIR_kalman_scheme > | [inline] |
| Float typedef | Bayesian_filter::Bayes_base | |
| init() | Bayesian_filter::SIR_kalman_scheme | [virtual] |
| init_kalman(const FM::Vec &x, const FM::SymMatrix &X) | Bayesian_filter::Kalman_state_filter | |
| init_S() | Bayesian_filter::SIR_scheme | [virtual] |
| init_sample(const FM::ColMatrix &initS) | Bayesian_filter::Sample_state_filter | |
| Kalman_state_filter(std::size_t x_size) | Bayesian_filter::Kalman_state_filter | |
| observe(Likelihood_observe_model &h, const FM::Vec &z) | Bayesian_filter::SIR_scheme | [virtual] |
| observe_likelihood(const FM::Vec &lw) | Bayesian_filter::SIR_scheme | [virtual] |
| operator=(const SIR_scheme &) | Bayesian_filter::SIR_scheme | |
| predict(Functional_predict_model &f) | Bayesian_filter::SIR_scheme | [inline, virtual] |
| predict(Sampled_predict_model &f) | Bayesian_filter::SIR_scheme | [virtual] |
| random | Bayesian_filter::SIR_scheme | |
| rclimit | Bayesian_filter::Kalman_state_filter | |
| resamples | Bayesian_filter::SIR_scheme | [protected] |
| roughen() | Bayesian_filter::SIR_kalman_scheme | [inline, virtual] |
| roughen_correlated(FM::ColMatrix &P, Float K) | Bayesian_filter::SIR_kalman_scheme | [protected] |
| roughen_minmax(FM::ColMatrix &P, Float K) const | Bayesian_filter::SIR_scheme | [protected] |
| roughen_model | Bayesian_filter::SIR_kalman_scheme | [protected] |
| rougheningK | Bayesian_filter::SIR_scheme | |
| S | Bayesian_filter::Sample_state_filter | |
| Sample_filter(std::size_t x_size, std::size_t s_size) | Bayesian_filter::Sample_filter | |
| Sample_state_filter(std::size_t x_size, std::size_t s_size) | Bayesian_filter::Sample_state_filter | |
| SIR_kalman_scheme(std::size_t x_size, std::size_t s_size, SIR_random &random_helper) | Bayesian_filter::SIR_kalman_scheme | |
| SIR_scheme(std::size_t x_size, std::size_t s_size, SIR_random &random_helper) | Bayesian_filter::SIR_scheme | |
| State_filter(std::size_t x_size) | Bayesian_filter::State_filter | |
| stochastic_samples | Bayesian_filter::SIR_scheme | |
| unique_samples() const | Bayesian_filter::Sample_state_filter | |
| update() | Bayesian_filter::SIR_kalman_scheme | [inline, virtual] |
| update_resample() | Bayesian_filter::SIR_kalman_scheme | [inline, virtual] |
| update_resample(const Importance_resampler &resampler) | Bayesian_filter::SIR_kalman_scheme | [virtual] |
| update_statistics() | Bayesian_filter::SIR_kalman_scheme | |
| wir | Bayesian_filter::SIR_scheme | [protected] |
| wir_update | Bayesian_filter::SIR_scheme | [protected] |
| x | Bayesian_filter::State_filter | |
| X | Bayesian_filter::Kalman_state_filter | |
| ~Bayes_base()=0 | Bayesian_filter::Bayes_base | [pure virtual] |
| ~Sample_state_filter()=0 | Bayesian_filter::Sample_state_filter | [pure virtual] |
