// 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);
}