#include <schemeFlt.hpp>
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| | Filter_scheme (std::size_t x_size, std::size_t q_maxsize, std::size_t z_initialsize) |
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| | Information_root_info_scheme (std::size_t x_size, std::size_t z_initialsize=0) |
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| void | init_yY () |
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| void | update_yY () |
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| | Information_root_scheme (std::size_t x_size, std::size_t z_initialsize=0) |
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| void | init () |
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| void | update () |
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| Float | predict (Linrz_predict_model &f, const FM::ColMatrix &invFx, bool linear_r) |
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| Float | predict (Linrz_predict_model &f) |
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| Float | predict (Linear_predict_model &f) |
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| Float | predict (Linear_invertible_predict_model &f) |
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| Float | observe_innovation (Linrz_uncorrelated_observe_model &h, const FM::Vec &s) |
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| Float | observe_innovation (Linrz_correlated_observe_model &h, const FM::Vec &s) |
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| virtual Float | observe (Linrz_uncorrelated_observe_model &h, const FM::Vec &z) |
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| virtual Float | observe (Linrz_correlated_observe_model &h, const FM::Vec &z) |
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| virtual | ~Bayes_base ()=0 |
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| | Kalman_state_filter (std::size_t x_size) |
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| void | init_kalman (const FM::Vec &x, const FM::SymMatrix &X) |
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| | State_filter (std::size_t x_size) |
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| | Information_state_filter (std::size_t x_size) |
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| void | init_information (const FM::Vec &y, const FM::SymMatrix &Y) |
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◆ Filter_scheme()
The documentation for this struct was generated from the following file: