STIR  6.2.0
stir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT > Member List

This is the complete list of members for stir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >, including all inherited members.

_additive_dyn_proj_data_filenamestir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >protected
_additive_dyn_proj_data_sptrstir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >protected
_dyn_image_templatestir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >protected
_dyn_proj_data_sptrstir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >protected
_input_filenamestir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >protected
_max_segment_num_to_processstir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >protected
_normalisation_sptrstir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >protected
_patlak_plot_sptrstir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >protected
_projector_pair_ptrstir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >protected
_zero_seg0_end_planesstir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >protected
accumulate_Hessian_times_input(TargetT &output, const TargetT &current_image_estimate, const TargetT &input) conststir::GeneralisedObjectiveFunction< TargetT >
accumulate_Hessian_times_input_without_penalty(TargetT &output, const TargetT &current_image_estimate, const TargetT &input) const (defined in stir::GeneralisedObjectiveFunction< TargetT >)stir::GeneralisedObjectiveFunction< TargetT >
accumulate_sub_Hessian_times_input(TargetT &output, const TargetT &current_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 &current_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 &current_image_estimate, const TargetT &input, const int subset_num) const overridestir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >protectedvirtual
actual_add_multiplication_with_approximate_sub_Hessian_without_penalty(TargetT &output, const TargetT &input, const int subset_num) const overridestir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >protectedvirtual
actual_compute_objective_function_without_penalty(const TargetT &current_estimate, const int subset_num) overridestir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >protectedvirtual
actual_compute_subset_gradient_without_penalty(TargetT &gradient, const TargetT &current_estimate, const int subset_num, const bool add_sensitivity) overridestir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >protectedvirtual
actual_subsets_are_approximately_balanced(std::string &warning_message) const overridestir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >protectedvirtual
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) conststir::GeneralisedObjectiveFunction< TargetT >
add_subset_sensitivity(TargetT &sensitivity, const int subset_num) const overridestir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >protectedvirtual
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 &current_estimate)stir::GeneralisedObjectiveFunction< TargetT >virtual
compute_gradient_without_penalty(TargetT &gradient, const TargetT &current_estimate)stir::GeneralisedObjectiveFunction< TargetT >virtual
compute_objective_function(const TargetT &current_estimate, const int subset_num)stir::GeneralisedObjectiveFunction< TargetT >
compute_objective_function(const TargetT &current_estimate)stir::GeneralisedObjectiveFunction< TargetT >
compute_objective_function_without_penalty(const TargetT &current_estimate, const int subset_num)stir::GeneralisedObjectiveFunction< TargetT >virtual
compute_objective_function_without_penalty(const TargetT &current_estimate)stir::GeneralisedObjectiveFunction< TargetT >virtual
compute_penalty(const TargetT &current_estimate, const int subset_num)stir::GeneralisedObjectiveFunction< TargetT >
compute_penalty(const TargetT &current_estimate)stir::GeneralisedObjectiveFunction< TargetT >
compute_sensitivities()stir::PoissonLogLikelihoodWithLinearModelForMean< TargetT >protected
compute_sub_gradient(TargetT &gradient, const TargetT &current_estimate, const int subset_num)stir::GeneralisedObjectiveFunction< TargetT >virtual
compute_sub_gradient_without_penalty(TargetT &gradient, const TargetT &current_estimate, const int subset_num) overridestir::PoissonLogLikelihoodWithLinearModelForMean< TargetT >virtual
compute_sub_gradient_without_penalty_plus_sensitivity(TargetT &gradient, const TargetT &current_estimate, const int subset_num)stir::PoissonLogLikelihoodWithLinearModelForMean< TargetT >virtual
compute_value(const TargetT &current_estimate)stir::GeneralisedObjectiveFunction< TargetT >inline
construct_target_ptr() const overridestir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >virtual
fill_nonidentifiable_target_parameters(TargetT &target, const float value) const overridestir::PoissonLogLikelihoodWithLinearModelForMean< TargetT >virtual
GeneralisedObjectiveFunction() (defined in stir::GeneralisedObjectiveFunction< TargetT >)stir::GeneralisedObjectiveFunction< TargetT >inline
get_additive_dyn_proj_data() const (defined in stir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >)stir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >
get_additive_dyn_proj_data_sptr() const (defined in stir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >)stir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >
get_dyn_proj_data() const (defined in stir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >)stir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >
get_dyn_proj_data_sptr() const (defined in stir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >)stir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >
get_exam_info_uptr_for_target() const override (defined in stir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >)stir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >virtual
get_input_data() const overridestir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >virtual
get_max_segment_num_to_process() const (defined in stir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >)stir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >
get_normalisation() const (defined in stir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >)stir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >
get_normalisation_sptr() const (defined in stir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >)stir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >
get_num_subsets() conststir::GeneralisedObjectiveFunction< TargetT >
get_objective_function_values_report(const TargetT &current_estimate)stir::GeneralisedObjectiveFunction< TargetT >
get_prior_ptr() conststir::GeneralisedObjectiveFunction< TargetT >
get_prior_sptr() (defined in stir::GeneralisedObjectiveFunction< TargetT >)stir::GeneralisedObjectiveFunction< TargetT >
get_projector_pair() const (defined in stir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >)stir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >
get_projector_pair_sptr() const (defined in stir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >)stir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >
get_recompute_sensitivity() conststir::PoissonLogLikelihoodWithLinearModelForMean< TargetT >
get_registered_name() const overridestir::RegisteredParsingObject< PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >, GeneralisedObjectiveFunction< TargetT >, PoissonLogLikelihoodWithLinearModelForMean< TargetT > >inlinevirtual
get_sensitivity() conststir::PoissonLogLikelihoodWithLinearModelForMean< TargetT >
get_sensitivity_filename() conststir::PoissonLogLikelihoodWithLinearModelForMean< TargetT >
get_subsensitivity_filenames() conststir::PoissonLogLikelihoodWithLinearModelForMean< TargetT >
get_subset_sensitivity(const int subset_num) conststir::PoissonLogLikelihoodWithLinearModelForMean< TargetT >
get_use_subset_sensitivities() conststir::PoissonLogLikelihoodWithLinearModelForMean< TargetT >
get_zero_seg0_end_planes() const (defined in stir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >)stir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >
initialise_keymap() overridestir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< 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() overridestir::RegisteredParsingObject< PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >, GeneralisedObjectiveFunction< TargetT >, PoissonLogLikelihoodWithLinearModelForMean< TargetT > >inlinevirtual
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::ParsingObjectprotected
ParsingObject() (defined in stir::ParsingObject)stir::ParsingObject
ParsingObject(const ParsingObject &) (defined in stir::ParsingObject)stir::ParsingObject
PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData() (defined in stir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >)stir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >
post_processing() overridestir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >protectedvirtual
prior_is_zero() conststir::GeneralisedObjectiveFunction< TargetT >
prior_sptr (defined in stir::GeneralisedObjectiveFunction< TargetT >)stir::GeneralisedObjectiveFunction< TargetT >protected
read_from_stream(std::istream *)stir::RegisteredParsingObject< PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >, GeneralisedObjectiveFunction< TargetT >, PoissonLogLikelihoodWithLinearModelForMean< TargetT > >inlinestatic
read_registered_object(std::istream *in, const std::string &registered_name)stir::RegisteredObject< GeneralisedObjectiveFunction< TargetT > >inlinestatic
registered_namestir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >static
RegisteredObject() (defined in stir::RegisteredObject< GeneralisedObjectiveFunction< TargetT > >)stir::RegisteredObject< GeneralisedObjectiveFunction< TargetT > >inline
registry()stir::RegisteredObject< GeneralisedObjectiveFunction< TargetT > >inlineprotectedstatic
RegistryType typedefstir::RegisteredObject< GeneralisedObjectiveFunction< TargetT > >protected
RootFactory typedefstir::RegisteredObject< GeneralisedObjectiveFunction< TargetT > >protected
set_additive_proj_data_sptr(const shared_ptr< ExamData > &) overridestir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >virtual
set_defaults() overridestir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >protectedvirtual
set_input_data(const shared_ptr< ExamData > &) overridestir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >virtual
set_key_values()stir::ParsingObjectprotectedvirtual
set_normalisation_sptr(const shared_ptr< BinNormalisation > &) overridestir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >virtual
set_num_subsets(const int num_subsets) overridestir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >virtual
set_prior_sptr(const shared_ptr< GeneralisedPrior< TargetT >> &)stir::GeneralisedObjectiveFunction< TargetT >
set_recompute_sensitivity(const bool) (defined in stir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >)stir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >
set_sensitivity_filename(const std::string &)stir::PoissonLogLikelihoodWithLinearModelForMean< TargetT >
set_sensitivity_sptr(const shared_ptr< TargetT > &) (defined in stir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >)stir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< 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) overridestir::PoissonLogLikelihoodWithLinearModelForMean< TargetT >virtual
set_up_before_sensitivity(shared_ptr< const TargetT > const &target_sptr) overridestir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >protectedvirtual
set_use_subset_sensitivities(const bool)stir::PoissonLogLikelihoodWithLinearModelForMean< TargetT >
subsets_are_approximately_balanced() conststir::GeneralisedObjectiveFunction< TargetT >
subsets_are_approximately_balanced(std::string &warning_message) conststir::GeneralisedObjectiveFunction< TargetT >
target_parameter_parser (defined in stir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >)stir::PoissonLogLikelihoodWithLinearKineticModelAndDynamicProjectionData< TargetT >protected
~GeneralisedObjectiveFunction() override (defined in stir::GeneralisedObjectiveFunction< TargetT >)stir::GeneralisedObjectiveFunction< TargetT >
~ParsingObject() (defined in stir::ParsingObject)stir::ParsingObjectinlinevirtual
~RegisteredObjectBase() override (defined in stir::RegisteredObjectBase)stir::RegisteredObjectBaseinline
Generated on Tue Jul 23 2024 09:13:15 for STIR by   doxygen 1.8.13