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STIR
6.2.0
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Namespace for the implementation details of the STIR library. More...
Classes | |
| struct | is_1d |
| a class used to signify it's a 1D array More... | |
| struct | is_not_1d |
| a class used to signify it's not a 1D array More... | |
| class | ParallelprojHelper |
| Helper class for Parallelproj's projectors. More... | |
| struct | test_if_1d |
| a templated class used to check if it's a 1D array or not This class only exists to allow a work-around for older compilers (such as VC 6.0) that do not implement partial ordering of function templates or partial template specialisation. More... | |
| struct | test_if_1d< 1 > |
| 1D specialisation of a templated class used to check if it's a 1D array or not More... | |
Functions | |
| template<class Value > | |
| void | linear_regression_compute_fit_from_S (Value &constant, Value &scale, Value &chi_square, Value &variance_of_constant, Value &variance_of_scale, Value &covariance_of_constant_with_scale, const double S, const double Sx, const double Sy, const double Syy, const double Stt, const double Sty, const std::size_t data_size, const bool use_estimated_variance) |
| template void | linear_regression_compute_fit_from_S (float &constant, float &scale, float &chi_square, float &variance_of_constant, float &variance_of_scale, float &covariance_of_constant_with_scale, const double S, const double Sx, const double Sy, const double Syy, const double Stt, const double Sty, const std::size_t data_size, const bool use_estimated_variance) |
| template void | linear_regression_compute_fit_from_S (double &constant, double &scale, double &chi_square, double &variance_of_constant, double &variance_of_scale, double &covariance_of_constant_with_scale, const double S, const double Sx, const double Sy, const double Syy, const double Stt, const double Sty, const std::size_t data_size, const bool use_estimated_variance) |
| template<int num_dimensions> | |
| void | copy_data_from_buffer (const Array< 1, float > &buffer, Array< num_dimensions, float > &array, std::streamoff offset) |
| template<int num_dimensions> | |
| void | copy_data_to_buffer (Array< 1, float > &buffer, const Array< num_dimensions, float > &array, std::streamoff offset) |
| template<int num_dimensions, typename T > | |
| BasicCoordinate< num_dimensions, int > | get_min_indices_help (is_not_1d, const Array< num_dimensions, T > &a) |
| template<typename T > | |
| BasicCoordinate< 1, int > | get_min_indices_help (is_1d, const Array< 1, T > &a) |
| template<int num_dimensions2, typename T > | |
| bool | next_help (is_1d, BasicCoordinate< 1, int > &index, const Array< num_dimensions2, T > &a) |
| template<typename T , int num_dimensions, int num_dimensions2> | |
| bool | next_help (is_not_1d, BasicCoordinate< num_dimensions, int > &index, const Array< num_dimensions2, T > &a) |
| template<class coordT > | |
| bool | coordinate_less_than_help (is_1d, const BasicCoordinate< 1, coordT > &c1, const BasicCoordinate< 1, coordT > &c2) |
| template<class coordT > | |
| bool | coordinate_less_than_help (is_not_1d, const BasicCoordinate< 2, coordT > &c1, const BasicCoordinate< 2, coordT > &c2) |
| template<class coordT > | |
| bool | coordinate_less_than_help (is_not_1d, const BasicCoordinate< 3, coordT > &c1, const BasicCoordinate< 3, coordT > &c2) |
| template<int num_dimensions, class coordT > | |
| bool | coordinate_less_than_help (is_not_1d, const BasicCoordinate< num_dimensions, coordT > &c1, const BasicCoordinate< num_dimensions, coordT > &c2) |
| template<int num_dimensions, class IStreamT , class elemT > | |
| Succeeded | read_data_help (is_not_1d, IStreamT &s, Array< num_dimensions, elemT > &data, const ByteOrder byte_order) |
| template<class IStreamT , class elemT > | |
| Succeeded | read_data_help (is_1d, IStreamT &s, Array< 1, elemT > &data, const ByteOrder byte_order) |
| template<int num_dimensions, class elemT > | |
| Succeeded | read_data_1d (std::istream &s, Array< num_dimensions, elemT > &data, const ByteOrder byte_order) |
This is an internal function called by read_data(). It does the actual reading to std::istream. More... | |
| template<int num_dimensions, class elemT > | |
| Succeeded | read_data_1d (FILE *&, Array< num_dimensions, elemT > &data, const ByteOrder byte_order) |
| template<int num_dimensions, class OStreamT , class elemT , class OutputType , class ScaleT > | |
| Succeeded | write_data_with_fixed_scale_factor_help (is_not_1d, OStreamT &s, const Array< num_dimensions, elemT > &data, NumericInfo< OutputType > output_type, const ScaleT scale_factor, const ByteOrder byte_order, const bool can_corrupt_data) |
| template<class OStreamT , class elemT , class OutputType , class ScaleT > | |
| Succeeded | write_data_with_fixed_scale_factor_help (is_1d, OStreamT &s, const Array< 1, elemT > &data, NumericInfo< OutputType >, const ScaleT scale_factor, const ByteOrder byte_order, const bool can_corrupt_data) |
| template<int num_dimensions, class elemT > | |
| Succeeded | write_data_1d (std::ostream &s, const Array< num_dimensions, elemT > &data, const ByteOrder byte_order, const bool can_corrupt_data) |
This is an internal function called by write_data(). It does the actual writing to std::ostream. More... | |
| template<int num_dimensions, class elemT > | |
| Succeeded | write_data_1d (FILE *&fptr_ref, const Array< num_dimensions, elemT > &data, const ByteOrder byte_order, const bool can_corrupt_data) |
This is an internal function called by write_data(). It does the actual writing to FILE* using stdio functions. More... | |
| template<class DataIter , class CoordinatesIter , class WeightsIter > | |
| void | linear_regression_compute_S (double &S, double &Sx, double &Sy, double &Syy, double &Stt, double &Sty, const DataIter data_begin, const DataIter data_end, const CoordinatesIter coords_begin, const WeightsIter weights_begin) |
| template<class elemT , class vecT > | |
| void | matrix_multiply_help (vecT &retval, const Array< 2, elemT > &m, const vecT &vec) |
| std::vector< ViewSegmentNumbers > | find_basic_vs_nums_in_subset (const ProjDataInfo &proj_data_info, const DataSymmetriesForViewSegmentNumbers &symmetries, const int min_segment_num, const int max_segment_num, const int subset_num, const int num_subsets) |
| a helper function to find which view/segments are in a subsetThis function is used by projectors and distributable_computation etc to construct a list of view/segments that are in a subset, and which are "basic" w.r.t the symmetries. | |
Namespace for the implementation details of the STIR library.
You should never have to call one of these routines.
1.8.13