// GET: DoptimizeExperiment //D优化法实验 public ActionResult DoptimizeExperiment(int dop_id) { DoptimizeExperimentModel doptimizeExperimentModel = new DoptimizeExperimentModel(); DoptimizeExperimentTable det = dbDrive.GetDoptimizeExperimentTable(dop_id); List <DoptimizeDataTable> ddt_list = dbDrive.GetDoptimizeDataTables(dop_id); doptimizeExperimentModel.doptimizeNameSeting = DoptimizePublic.DistributionState(det); doptimizeExperimentModel.sq = ddt_list[ddt_list.Count - 1].ddt_StimulusQuantity; doptimizeExperimentModel.det = det; return(View(doptimizeExperimentModel)); }
public static List <Doptimization_list> Doptimization_list(IDbDrive dbDrive, List <DoptimizeExperimentTable> det_list, int first) { List <Doptimization_list> doptimization_Lists = new List <Doptimization_list>(); for (int i = det_list.Count - 1; i >= 0; i--) { var doptimization_List = GetDoptimization(det_list[i]); doptimization_List.number = i + 1 + first; doptimization_List.count = dbDrive.GetDoptimizeDataTables(det_list[i].det_Id).Count - 1; doptimization_Lists.Add(doptimization_List); } return(doptimization_Lists); }
public static List <Doptimization_list> Doptimization_list(IDbDrive dbDrive, List <DoptimizeExperimentTable> det_list) { List <Doptimization_list> doptimization_Lists = new List <Doptimization_list>(); for (int i = 0; i < det_list.Count; i++) { var doptimization_List = GetDoptimization(det_list[i]); doptimization_List.number = i + 1; doptimization_List.count = dbDrive.GetDoptimizeDataTables(det_list[i].det_Id).Count - 1; doptimization_Lists.Add(doptimization_List); } doptimization_Lists.Reverse(); return(doptimization_Lists); }
public static DoptimizeDataTable DoptimizeDataTable(int det_Id, IDbDrive dbDrive, double sq, OutputParameters outputParameters) { DoptimizeDataTable doptimizeDataTable = new DoptimizeDataTable(); doptimizeDataTable.ddt_ExperimentTableId = det_Id; doptimizeDataTable.ddt_StimulusQuantity = double.Parse(sq.ToString("f6")); doptimizeDataTable.ddt_Number = dbDrive.GetDoptimizeDataTables(det_Id).Count + 1; doptimizeDataTable.ddt_Response = 0; doptimizeDataTable.ddt_Mean = 0; doptimizeDataTable.ddt_StandardDeviation = 0; doptimizeDataTable.ddt_SigmaGuess = outputParameters.sigmaguess; doptimizeDataTable.ddt_StandardDeviationVariance = 0; doptimizeDataTable.ddt_MeanVariance = 0; doptimizeDataTable.ddt_Covmusigma = 0; doptimizeDataTable.ddt_Note1 = ""; return(doptimizeDataTable); }