| accumulate_Hessian_times_input(TargetT &output, const TargetT ¤t_image_estimate, const TargetT &input) const | stir::GeneralisedObjectiveFunction< TargetT > | |
| accumulate_Hessian_times_input_without_penalty(TargetT &output, const TargetT ¤t_image_estimate, const TargetT &input) const (defined in stir::GeneralisedObjectiveFunction< TargetT >) | stir::GeneralisedObjectiveFunction< TargetT > | |
| accumulate_sub_Hessian_times_input(TargetT &output, const TargetT ¤t_image_estimate, const TargetT &input, const int subset_num) const (defined in stir::GeneralisedObjectiveFunction< TargetT >) | stir::GeneralisedObjectiveFunction< TargetT > | |
| accumulate_sub_Hessian_times_input_without_penalty(TargetT &output, const TargetT ¤t_image_estimate, const TargetT &input, const int subset_num) const (defined in stir::GeneralisedObjectiveFunction< TargetT >) | stir::GeneralisedObjectiveFunction< TargetT > | |
| actual_accumulate_sub_Hessian_times_input_without_penalty(TargetT &output, const TargetT ¤t_image_estimate, const TargetT &input, const int subset_num) const | stir::GeneralisedObjectiveFunction< TargetT > | protectedvirtual |
| actual_add_multiplication_with_approximate_sub_Hessian_without_penalty(TargetT &output, const TargetT &input, const int subset_num) const | stir::GeneralisedObjectiveFunction< TargetT > | protectedvirtual |
| actual_compute_objective_function_without_penalty(const TargetT ¤t_estimate, const int subset_num)=0 | stir::GeneralisedObjectiveFunction< TargetT > | protectedpure virtual |
| actual_compute_subset_gradient_without_penalty(TargetT &gradient, const TargetT ¤t_estimate, const int subset_num, const bool add_sensitivity)=0 | stir::PoissonLogLikelihoodWithLinearModelForMean< TargetT > | protectedpure virtual |
| actual_subsets_are_approximately_balanced(std::string &warning_message) const =0 | stir::GeneralisedObjectiveFunction< TargetT > | protectedpure virtual |
| add_multiplication_with_approximate_Hessian(TargetT &output, const TargetT &input) const (defined in stir::GeneralisedObjectiveFunction< TargetT >) | stir::GeneralisedObjectiveFunction< TargetT > | |
| add_multiplication_with_approximate_Hessian_without_penalty(TargetT &output, const TargetT &input) const (defined in stir::GeneralisedObjectiveFunction< TargetT >) | stir::GeneralisedObjectiveFunction< TargetT > | |
| add_multiplication_with_approximate_sub_Hessian(TargetT &output, const TargetT &input, const int subset_num) const (defined in stir::GeneralisedObjectiveFunction< TargetT >) | stir::GeneralisedObjectiveFunction< TargetT > | |
| add_multiplication_with_approximate_sub_Hessian_without_penalty(TargetT &output, const TargetT &input, const int subset_num) const | stir::GeneralisedObjectiveFunction< TargetT > | |
| add_subset_sensitivity(TargetT &sensitivity, const int subset_num) const =0 | stir::PoissonLogLikelihoodWithLinearModelForMean< TargetT > | pure virtual |
| already_set_up (defined in stir::GeneralisedObjectiveFunction< TargetT >) | stir::GeneralisedObjectiveFunction< TargetT > | protected |
| ask_parameters() (defined in stir::ParsingObject) | stir::ParsingObject | |
| ask_type_and_parameters() | stir::RegisteredObject< GeneralisedObjectiveFunction< TargetT > > | inlinestatic |
| compute_gradient(TargetT &gradient, const TargetT ¤t_estimate) | stir::GeneralisedObjectiveFunction< TargetT > | virtual |
| compute_gradient_without_penalty(TargetT &gradient, const TargetT ¤t_estimate) | stir::GeneralisedObjectiveFunction< TargetT > | virtual |
| compute_objective_function(const TargetT ¤t_estimate, const int subset_num) | stir::GeneralisedObjectiveFunction< TargetT > | |
| compute_objective_function(const TargetT ¤t_estimate) | stir::GeneralisedObjectiveFunction< TargetT > | |
| compute_objective_function_without_penalty(const TargetT ¤t_estimate, const int subset_num) | stir::GeneralisedObjectiveFunction< TargetT > | virtual |
| compute_objective_function_without_penalty(const TargetT ¤t_estimate) | stir::GeneralisedObjectiveFunction< TargetT > | virtual |
| compute_penalty(const TargetT ¤t_estimate, const int subset_num) | stir::GeneralisedObjectiveFunction< TargetT > | |
| compute_penalty(const TargetT ¤t_estimate) | stir::GeneralisedObjectiveFunction< TargetT > | |
| compute_sensitivities() | stir::PoissonLogLikelihoodWithLinearModelForMean< TargetT > | protected |
| compute_sub_gradient(TargetT &gradient, const TargetT ¤t_estimate, const int subset_num) | stir::GeneralisedObjectiveFunction< TargetT > | virtual |
| compute_sub_gradient_without_penalty(TargetT &gradient, const TargetT ¤t_estimate, const int subset_num) override | stir::PoissonLogLikelihoodWithLinearModelForMean< TargetT > | virtual |
| compute_sub_gradient_without_penalty_plus_sensitivity(TargetT &gradient, const TargetT ¤t_estimate, const int subset_num) | stir::PoissonLogLikelihoodWithLinearModelForMean< TargetT > | virtual |
| compute_value(const TargetT ¤t_estimate) | stir::GeneralisedObjectiveFunction< TargetT > | inline |
| construct_target_ptr() const =0 | stir::GeneralisedObjectiveFunction< TargetT > | pure virtual |
| fill_nonidentifiable_target_parameters(TargetT &target, const float value) const override | stir::PoissonLogLikelihoodWithLinearModelForMean< TargetT > | virtual |
| GeneralisedObjectiveFunction() (defined in stir::GeneralisedObjectiveFunction< TargetT >) | stir::GeneralisedObjectiveFunction< TargetT > | inline |
| get_exam_info_uptr_for_target() const (defined in stir::GeneralisedObjectiveFunction< TargetT >) | stir::GeneralisedObjectiveFunction< TargetT > | inlinevirtual |
| get_input_data() const =0 | stir::GeneralisedObjectiveFunction< TargetT > | pure virtual |
| get_num_subsets() const | stir::GeneralisedObjectiveFunction< TargetT > | |
| get_objective_function_values_report(const TargetT ¤t_estimate) | stir::GeneralisedObjectiveFunction< TargetT > | |
| get_prior_ptr() const | stir::GeneralisedObjectiveFunction< TargetT > | |
| get_prior_sptr() (defined in stir::GeneralisedObjectiveFunction< TargetT >) | stir::GeneralisedObjectiveFunction< TargetT > | |
| get_recompute_sensitivity() const | stir::PoissonLogLikelihoodWithLinearModelForMean< TargetT > | |
| get_registered_name() const =0 | stir::RegisteredObjectBase | pure virtual |
| get_sensitivity() const | stir::PoissonLogLikelihoodWithLinearModelForMean< TargetT > | |
| get_sensitivity_filename() const | stir::PoissonLogLikelihoodWithLinearModelForMean< TargetT > | |
| get_subsensitivity_filename(const int subset_num) const | stir::PoissonLogLikelihoodWithLinearModelForMean< TargetT > | |
| get_subsensitivity_filenames() const | stir::PoissonLogLikelihoodWithLinearModelForMean< TargetT > | |
| get_subset_sensitivity(const int subset_num) const | stir::PoissonLogLikelihoodWithLinearModelForMean< TargetT > | |
| get_use_subset_sensitivities() const | stir::PoissonLogLikelihoodWithLinearModelForMean< TargetT > | |
| initialise_keymap() override | stir::PoissonLogLikelihoodWithLinearModelForMean< TargetT > | protectedvirtual |
| list_registered_names(std::ostream &stream) | stir::RegisteredObject< GeneralisedObjectiveFunction< TargetT > > | inlinestatic |
| num_subsets (defined in stir::GeneralisedObjectiveFunction< TargetT >) | stir::GeneralisedObjectiveFunction< TargetT > | protected |
| operator=(const ParsingObject &) (defined in stir::ParsingObject) | stir::ParsingObject | |
| parameter_info() (defined in stir::ParsingObject) | stir::ParsingObject | virtual |
| parse(std::istream &f) (defined in stir::ParsingObject) | stir::ParsingObject | |
| parse(const char *const filename) (defined in stir::ParsingObject) | stir::ParsingObject | |
| parser (defined in stir::ParsingObject) | stir::ParsingObject | protected |
| ParsingObject() (defined in stir::ParsingObject) | stir::ParsingObject | |
| ParsingObject(const ParsingObject &) (defined in stir::ParsingObject) | stir::ParsingObject | |
| post_processing() override | stir::PoissonLogLikelihoodWithLinearModelForMean< TargetT > | protectedvirtual |
| prior_is_zero() const | stir::GeneralisedObjectiveFunction< TargetT > | |
| prior_sptr (defined in stir::GeneralisedObjectiveFunction< TargetT >) | stir::GeneralisedObjectiveFunction< TargetT > | protected |
| read_registered_object(std::istream *in, const std::string ®istered_name) | stir::RegisteredObject< GeneralisedObjectiveFunction< TargetT > > | inlinestatic |
| RegisteredObject() (defined in stir::RegisteredObject< GeneralisedObjectiveFunction< TargetT > >) | stir::RegisteredObject< GeneralisedObjectiveFunction< TargetT > > | inline |
| registry() | stir::RegisteredObject< GeneralisedObjectiveFunction< TargetT > > | inlineprotectedstatic |
| RegistryType typedef | stir::RegisteredObject< GeneralisedObjectiveFunction< TargetT > > | protected |
| RootFactory typedef | stir::RegisteredObject< GeneralisedObjectiveFunction< TargetT > > | protected |
| set_additive_proj_data_sptr(const shared_ptr< ExamData > &)=0 | stir::GeneralisedObjectiveFunction< TargetT > | pure virtual |
| set_defaults() override | stir::PoissonLogLikelihoodWithLinearModelForMean< TargetT > | protectedvirtual |
| set_input_data(const shared_ptr< ExamData > &)=0 | stir::GeneralisedObjectiveFunction< TargetT > | pure virtual |
| set_key_values() | stir::ParsingObject | protectedvirtual |
| set_normalisation_sptr(const shared_ptr< BinNormalisation > &)=0 | stir::GeneralisedObjectiveFunction< TargetT > | pure virtual |
| set_num_subsets(const int num_subsets)=0 | stir::GeneralisedObjectiveFunction< TargetT > | pure virtual |
| set_prior_sptr(const shared_ptr< GeneralisedPrior< TargetT >> &) | stir::GeneralisedObjectiveFunction< TargetT > | |
| set_recompute_sensitivity(const bool) (defined in stir::PoissonLogLikelihoodWithLinearModelForMean< TargetT >) | stir::PoissonLogLikelihoodWithLinearModelForMean< TargetT > | |
| set_sensitivity_filename(const std::string &) | stir::PoissonLogLikelihoodWithLinearModelForMean< TargetT > | |
| set_subsensitivity_filenames(const std::string &) | stir::PoissonLogLikelihoodWithLinearModelForMean< TargetT > | |
| set_subset_sensitivity_sptr(const shared_ptr< TargetT > &, const int subset_num) (defined in stir::PoissonLogLikelihoodWithLinearModelForMean< TargetT >) | stir::PoissonLogLikelihoodWithLinearModelForMean< TargetT > | |
| set_up(shared_ptr< TargetT > const &target_sptr) override | stir::PoissonLogLikelihoodWithLinearModelForMean< TargetT > | virtual |
| set_up_before_sensitivity(shared_ptr< const TargetT > const &target_sptr)=0 | stir::PoissonLogLikelihoodWithLinearModelForMean< TargetT > | protectedpure virtual |
| set_use_subset_sensitivities(const bool) | stir::PoissonLogLikelihoodWithLinearModelForMean< TargetT > | |
| subsets_are_approximately_balanced() const | stir::GeneralisedObjectiveFunction< TargetT > | |
| subsets_are_approximately_balanced(std::string &warning_message) const | stir::GeneralisedObjectiveFunction< TargetT > | |
| ~GeneralisedObjectiveFunction() override (defined in stir::GeneralisedObjectiveFunction< TargetT >) | stir::GeneralisedObjectiveFunction< TargetT > | |
| ~ParsingObject() (defined in stir::ParsingObject) | stir::ParsingObject | inlinevirtual |
| ~RegisteredObjectBase() override (defined in stir::RegisteredObjectBase) | stir::RegisteredObjectBase | inline |
