private void startButton_Click(object sender, EventArgs e)
{
if (checkInputs())
{
getInputs();
}
else
{
return;
}
random = new Random();
analyticObj = new AnalyticMethod(dataInput.gamma, dataInput.intervalBegin, dataInput.intervalEnd, dataInput.x0);
inverseMethodObj = new InverseFunctionMethod(dataInput.experimentsAmount, dataInput.partitionsAmount, dataInput.gamma, dataInput.intervalBegin, dataInput.intervalEnd, dataInput.x0);
neymanMethodObj = new NeymanMethod(dataInput.experimentsAmount, dataInput.partitionsAmount, dataInput.gamma, dataInput.intervalBegin, dataInput.intervalEnd, dataInput.x0);
metropolisMethodObj = new MetropolisMethod(dataInput.experimentsAmount, dataInput.partitionsAmount, dataInput.gamma, dataInput.intervalBegin, dataInput.intervalEnd, dataInput.x0);
experiment = new Experiment(dataInput, analyticObj, inverseMethodObj, neymanMethodObj, metropolisMethodObj);
actualExperimentAmount = 0;
pause = false;
isSaved = false;
setButtonsEnable(true);
startButton.Enabled = false;
saveButton.Enabled = false;
backgroundWorker.RunWorkerAsync();
}
public Experiment(Experiment experiment)
{
this.dataInput = new DataInput(experiment.dataInput);
this.analyticMethodObj = new AnalyticMethod(experiment.analyticMethodObj);
this.inverseFunctionMethodObj = new InverseFunctionMethod(experiment.inverseFunctionMethodObj);
this.neymanMethodObj = new NeymanMethod(experiment.neymanMethodObj);
this.metropolisMethodObj = new MetropolisMethod(experiment.metropolisMethodObj);
}
public Experiment(DataInput dataInput, AnalyticMethod analyticMethodObj, InverseFunctionMethod inverseFunctionMethodObj, NeymanMethod neymanMethodObj, MetropolisMethod metropolisMethodObj)
{
this.dataInput = new DataInput(dataInput);
this.analyticMethodObj = new AnalyticMethod(analyticMethodObj);
this.inverseFunctionMethodObj = new InverseFunctionMethod(inverseFunctionMethodObj);
this.neymanMethodObj = new NeymanMethod(neymanMethodObj);
this.metropolisMethodObj = new MetropolisMethod(metropolisMethodObj);
}
public AnalyticMethod(AnalyticMethod analyticMethod)
{
this.gamma = analyticMethod.gamma;
this.intervalBegin = analyticMethod.intervalBegin;
this.intervalEnd = analyticMethod.intervalEnd;
this.x0 = analyticMethod.x0;
this.resultList = new List <double>(analyticMethod.resultList);
this.intervalsList = new List <double>(analyticMethod.intervalsList);
}
public List <double> getResultList()
{
double max = resultList.Max();
AnalyticMethod analytic = new AnalyticMethod(this.gamma, this.intervalBegin, this.intervalEnd, this.x0);
double maxAnalytic = analytic.getResultList().Max();
for (int i = 0; i < resultList.Count; i++)
{
resultList[i] = (resultList[i] / max) * maxAnalytic;
}
resultList[resultList.Count - 1] = resultList[resultList.Count - 2];
return(this.resultList);
}
public double getMaxValue()
{
AnalyticMethod analytic = new AnalyticMethod(this.gamma, this.intervalBegin, this.intervalEnd, this.x0);
double max = analytic.getPDF(0);
for (double i = this.intervalBegin; i < this.intervalEnd; i += 0.005)
{
double value = analytic.getPDF(i);
if (value > max)
{
max = value;
}
}
return(max);
}
public void LoadExperimentsFromDB()
{
this.idList.Clear();
using (SQLiteConnection connection = new SQLiteConnection("Data Source=Experiments.sqlite3"))
{
connection.Open();
using (SQLiteCommand command = connection.CreateCommand())
{
command.CommandText = "SELECT * FROM experiment;";
using (SQLiteDataReader reader = command.ExecuteReader())
{
BinaryFormatter formatter = new BinaryFormatter();
this.experimentsList = new List <Experiment>();
while (reader.Read())
{
using (MemoryStream ms = new MemoryStream((byte[])reader["metropolis"]))
{
ms.Seek(0, SeekOrigin.Begin);
this.dataInput = new DataInput((DataInput)formatter.Deserialize(ms));
this.analyticMethod = new AnalyticMethod((AnalyticMethod)formatter.Deserialize(ms));
this.inverseFunctionMethod = new InverseFunctionMethod((InverseFunctionMethod)formatter.Deserialize(ms));
this.neymanMethod = new NeymanMethod((NeymanMethod)formatter.Deserialize(ms));
this.metropolisMethod = new MetropolisMethod((MetropolisMethod)formatter.Deserialize(ms));
this.idList.Add(int.Parse(reader["id"].ToString()));
this.experimentsList.Add(new Experiment(dataInput, analyticMethod, inverseFunctionMethod, neymanMethod, metropolisMethod));
}
}
}
}
}
this.FillListBox();
}