the regression test is based on the ensemble-averaged meanvalue and variance.
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void | calculateNewVariance (TripleVec< Real > &result, DoubleVec< Real > &meanvalue_new, DoubleVec< Real > &variance, DoubleVec< Real > &variance_new) |
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void | calculateNewVariance (TripleVec< Vecd > &result, DoubleVec< Vecd > &meanvalue_new, DoubleVec< Vecd > &variance, DoubleVec< Vecd > &variance_new) |
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void | calculateNewVariance (TripleVec< Matd > &result, DoubleVec< Matd > &meanvalue_new, DoubleVec< Matd > &variance, DoubleVec< Matd > &variance_new) |
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int | compareParameter (string par_name, DoubleVec< Real > ¶meter, DoubleVec< Real > ¶meter_new, Real &threshold) |
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int | compareParameter (string par_name, DoubleVec< Vecd > ¶meter, DoubleVec< Vecd > ¶meter_new, Vecd &threshold) |
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int | compareParameter (string par_name, DoubleVec< Matd > ¶meter, DoubleVec< Matd > ¶meter_new, Matd &threshold) |
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int | testNewResult (int diff, DoubleVec< Real > ¤t_result, DoubleVec< Real > &meanvalue, DoubleVec< Real > &variance) |
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int | testNewResult (int diff, DoubleVec< Vecd > ¤t_result, DoubleVec< Vecd > &meanvalue, DoubleVec< Vecd > &variance) |
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int | testNewResult (int diff, DoubleVec< Matd > ¤t_result, DoubleVec< Matd > &meanvalue, DoubleVec< Matd > &variance) |
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void | filterLocalResult (DoubleVec< Real > ¤t_result) |
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void | filterLocalResult (DoubleVec< Vecd > ¤t_result) |
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void | filterLocalResult (DoubleVec< Matd > ¤t_result) |
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void | searchSteadyStart (DoubleVec< Real > ¤t_result) |
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void | searchSteadyStart (DoubleVec< Vecd > ¤t_result) |
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void | searchSteadyStart (DoubleVec< Matd > ¤t_result) |
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void | calculateNewVariance (DoubleVec< Real > ¤t_result, StdVec< Real > &local_meanvalue, StdVec< Real > &variance, StdVec< Real > &variance_new) |
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void | calculateNewVariance (DoubleVec< Vecd > ¤t_result, StdVec< Vecd > &local_meanvalue, StdVec< Vecd > &variance, StdVec< Vecd > &variance_new) |
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void | calculateNewVariance (DoubleVec< Matd > ¤t_result, StdVec< Matd > &local_meanvalue, StdVec< Matd > &variance, StdVec< Matd > &variance_new) |
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int | compareParameter (string par_name, StdVec< Real > ¶meter, StdVec< Real > ¶meter_new, Real &threshold) |
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int | compareParameter (string par_name, StdVec< Vecd > ¶meter, StdVec< Vecd > ¶meter_new, Vecd &threshold) |
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int | compareParameter (string par_name, StdVec< Matd > ¶meter, StdVec< Matd > ¶meter_new, Matd &threshold) |
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int | testNewResult (DoubleVec< Real > ¤t_result, StdVec< Real > &meanvalue, StdVec< Real > &local_meanvalue, StdVec< Real > &variance) |
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int | testNewResult (DoubleVec< Vecd > ¤t_result, StdVec< Vecd > &meanvalue, StdVec< Vecd > &local_meanvalue, StdVec< Vecd > &variance) |
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int | testNewResult (DoubleVec< Matd > ¤t_result, StdVec< Matd > &meanvalue, StdVec< Matd > &local_meanvalue, StdVec< Matd > &variance) |
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DoubleVec< VariableType > | meanvalue_ |
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DoubleVec< VariableType > | meanvalue_new_ |
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DoubleVec< VariableType > | variance_ |
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DoubleVec< VariableType > | variance_new_ |
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int | snapshot_for_converged_ |
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std::string | mean_variance_filefullpath_ |
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std::string | filefullpath_filter_output_ |
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XmlEngine | mean_variance_xml_engine_in_ |
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XmlEngine | mean_variance_xml_engine_out_ |
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VariableType | threshold_mean_ |
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VariableType | threshold_variance_ |
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StdVec< VariableType > | meanvalue_ |
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StdVec< VariableType > | meanvalue_new_ |
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StdVec< VariableType > | variance_ |
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StdVec< VariableType > | variance_new_ |
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StdVec< VariableType > | local_meanvalue_ |
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std::string | input_folder_path_ |
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std::string | in_output_filefullpath_ |
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std::string | result_filefullpath_ |
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std::string | runtimes_filefullpath_ |
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std::string | converged |
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XmlMemoryIO | xmlmemory_io_ |
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XmlEngine | observe_xml_engine_ |
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XmlEngine | result_xml_engine_in_ |
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XmlEngine | result_xml_engine_out_ |
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StdVec< std::string > | element_tag_ |
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DoubleVec< VariableType > | current_result_ |
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DoubleVec< VariableType > | current_result_trans_ |
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DoubleVec< VariableType > | result_in_ |
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TripleVec< VariableType > | result_ |
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int | snapshot_ |
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int | observation_ |
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int | difference_ |
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int | number_of_run_ |
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int | label_for_repeat_ |
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int | number_of_snapshot_old_ |
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template<class ObserveMethodType>
class SPH::RegressionTestEnsembleAveraged< ObserveMethodType >
the regression test is based on the ensemble-averaged meanvalue and variance.