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 override | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | protectedvirtual |
actual_add_multiplication_with_approximate_sub_Hessian_without_penalty(TargetT &output, const TargetT &input, const int subset_num) const override | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | protectedvirtual |
actual_compute_objective_function_without_penalty(const TargetT ¤t_estimate, const int subset_num) override | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | protectedvirtual |
actual_compute_subset_gradient_without_penalty(TargetT &gradient, const TargetT ¤t_estimate, const int subset_num, const bool add_sensitivity) override | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | virtual |
actual_subsets_are_approximately_balanced(std::string &warning_message) const override | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< 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) const | stir::GeneralisedObjectiveFunction< TargetT > | |
add_subset_sensitivity(TargetT &sensitivity, const int subset_num) const override | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | virtual |
additive_proj_data_sptr (defined in stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT >) | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | protected |
additive_projection_data_filename | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | protected |
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 |
caching_info_ptr | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | |
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_total_loglikelihood | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | protected |
compute_value(const TargetT ¤t_estimate) | stir::GeneralisedObjectiveFunction< TargetT > | inline |
construct_target_ptr() const override | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | virtual |
distributed_cache_enabled | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | |
distributed_tests_enabled (defined in stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT >) | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | |
fill_nonidentifiable_target_parameters(TargetT &target, const float value) const override | stir::PoissonLogLikelihoodWithLinearModelForMean< TargetT > | virtual |
frame_definition_filename (defined in stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT >) | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | protected |
frame_defs (defined in stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT >) | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | protected |
frame_num (defined in stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT >) | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | protected |
GeneralisedObjectiveFunction() (defined in stir::GeneralisedObjectiveFunction< TargetT >) | stir::GeneralisedObjectiveFunction< TargetT > | inline |
get_additive_proj_data() const (defined in stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT >) | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | |
get_additive_proj_data_sptr() const (defined in stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT >) | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | |
get_exam_info_uptr_for_target() const override (defined in stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT >) | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | virtual |
get_input_data() const override | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | virtual |
get_max_segment_num_to_process() const (defined in stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT >) | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | |
get_max_timing_pos_num_to_process() const (defined in stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT >) | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | |
get_normalisation() const (defined in stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT >) | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | |
get_normalisation_sptr() const (defined in stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT >) | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | |
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_proj_data() const (defined in stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT >) | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | |
get_proj_data_sptr() const (defined in stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT >) | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | |
get_projector_pair() const (defined in stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT >) | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | |
get_projector_pair_sptr() const (defined in stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT >) | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | |
get_recompute_sensitivity() const | stir::PoissonLogLikelihoodWithLinearModelForMean< TargetT > | |
get_registered_name() const override | stir::RegisteredParsingObject< PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT >, GeneralisedObjectiveFunction< TargetT >, PoissonLogLikelihoodWithLinearModelForMean< TargetT > > | inlinevirtual |
get_sensitivity() const | stir::PoissonLogLikelihoodWithLinearModelForMean< TargetT > | |
get_sensitivity_filename() const | stir::PoissonLogLikelihoodWithLinearModelForMean< TargetT > | |
get_subsensitivity_filenames() const | stir::PoissonLogLikelihoodWithLinearModelForMean< TargetT > | |
get_subset_sensitivity(const int subset_num) const | stir::PoissonLogLikelihoodWithLinearModelForMean< TargetT > | |
get_time_frame_definitions() const (defined in stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT >) | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | |
get_time_frame_num() const (defined in stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT >) | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | |
get_use_subset_sensitivities() const | stir::PoissonLogLikelihoodWithLinearModelForMean< TargetT > | |
get_zero_seg0_end_planes() const (defined in stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT >) | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | |
initialise_keymap() override | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | protectedvirtual |
input_filename | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | protected |
list_registered_names(std::ostream &stream) | stir::RegisteredObject< GeneralisedObjectiveFunction< TargetT > > | inlinestatic |
loglikelihood_computation_interval | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | protected |
loglikelihood_data_filename | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | protected |
max_segment_num_to_process | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | protected |
max_timing_pos_num_to_process | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | protected |
message_timings_enabled (defined in stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT >) | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | |
message_timings_threshold (defined in stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT >) | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | |
normalisation_sptr (defined in stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT >) | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | protected |
num_subsets (defined in stir::GeneralisedObjectiveFunction< TargetT >) | stir::GeneralisedObjectiveFunction< TargetT > | protected |
operator=(const ParsingObject &) (defined in stir::ParsingObject) | stir::ParsingObject | |
parameter_info() override | stir::RegisteredParsingObject< PoissonLogLikelihoodWithLinearModelForMeanAndProjData< 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::ParsingObject | protected |
ParsingObject() (defined in stir::ParsingObject) | stir::ParsingObject | |
ParsingObject(const ParsingObject &) (defined in stir::ParsingObject) | stir::ParsingObject | |
PoissonLogLikelihoodWithLinearModelForMeanAndProjData() | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | |
post_processing() override | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | protectedvirtual |
prior_is_zero() const | stir::GeneralisedObjectiveFunction< TargetT > | |
prior_sptr (defined in stir::GeneralisedObjectiveFunction< TargetT >) | stir::GeneralisedObjectiveFunction< TargetT > | protected |
proj_data_sptr | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | protected |
projector_pair_ptr | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | protected |
read_from_stream(std::istream *) | stir::RegisteredParsingObject< PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT >, GeneralisedObjectiveFunction< TargetT >, PoissonLogLikelihoodWithLinearModelForMean< TargetT > > | inlinestatic |
read_registered_object(std::istream *in, const std::string ®istered_name) | stir::RegisteredObject< GeneralisedObjectiveFunction< TargetT > > | inlinestatic |
registered_name | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | static |
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 |
rpc_timings_enabled (defined in stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT >) | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | |
set_additive_proj_data_sptr(const shared_ptr< ExamData > &) override | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | virtual |
set_defaults() override | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | protectedvirtual |
set_frame_definitions(const TimeFrameDefinitions &) (defined in stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT >) | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | |
set_frame_num(const int) (defined in stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT >) | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | |
set_input_data(const shared_ptr< ExamData > &) override | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | virtual |
set_key_values() | stir::ParsingObject | protectedvirtual |
set_max_segment_num_to_process(const int) (defined in stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT >) | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | |
set_max_timing_pos_num_to_process(const int) (defined in stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT >) | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | |
set_normalisation_sptr(const shared_ptr< BinNormalisation > &) override | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | virtual |
set_num_subsets(const int num_subsets) override | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | virtual |
set_prior_sptr(const shared_ptr< GeneralisedPrior< TargetT >> &) | stir::GeneralisedObjectiveFunction< TargetT > | |
set_proj_data_sptr(const shared_ptr< ProjData > &) (defined in stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT >) | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | |
set_projector_pair_sptr(const shared_ptr< ProjectorByBinPair > &) (defined in stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT >) | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< 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) override | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | protectedvirtual |
set_use_subset_sensitivities(const bool) | stir::PoissonLogLikelihoodWithLinearModelForMean< TargetT > | |
set_zero_seg0_end_planes(const bool) (defined in stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT >) | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | |
subsets_are_approximately_balanced() const | stir::GeneralisedObjectiveFunction< TargetT > | |
subsets_are_approximately_balanced(std::string &warning_message) const | stir::GeneralisedObjectiveFunction< TargetT > | |
target_parameter_parser (defined in stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT >) | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | protected |
use_tofsens | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | protected |
zero_seg0_end_planes | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | protected |
~GeneralisedObjectiveFunction() override (defined in stir::GeneralisedObjectiveFunction< TargetT >) | stir::GeneralisedObjectiveFunction< TargetT > | |
~ParsingObject() (defined in stir::ParsingObject) | stir::ParsingObject | inlinevirtual |
~PoissonLogLikelihoodWithLinearModelForMeanAndProjData() override | stir::PoissonLogLikelihoodWithLinearModelForMeanAndProjData< TargetT > | |
~RegisteredObjectBase() override (defined in stir::RegisteredObjectBase) | stir::RegisteredObjectBase | inline |