public void CalculateExponentialExpectedStandardDeviation()
{
//Arrange
ExponentialGenerator exponentialGenerator = new ExponentialGenerator(4, 100);
//Act
double number = exponentialGenerator.CalculateExpectedStandardDeviation();
//Assert
Assert.AreEqual(0.25, number);
}
public void CalculateExponentialExpectedVarianceTest()
{
//Arrange
ExponentialGenerator exponentialGenerator = new ExponentialGenerator(4, 100);
//Act
double number = exponentialGenerator.CalculateExpectedVariance();
//Assert
Assert.AreEqual(0.0625, number);
}
public void CalculateExponentialTest()
{
//Arrange
ExponentialGenerator exponentialGenerator = new ExponentialGenerator(4, 100);
//Act
double probability = exponentialGenerator.CalculateExponential(1);
//Assert
Assert.AreEqual(0.0183, Math.Round(probability, 4));
}
public void GenerateExponentialDistributionTest()
{
//Arrange
ExponentialGenerator exponentialGenerator = new ExponentialGenerator(20, 100);
//Act
double[] distribution = exponentialGenerator.GenerateExponentialDistribution();
//Assert
foreach (double number in distribution)
{
Assert.AreEqual(0, Math.Round(number));
}
}
private async void GenerateButton_Click(object sender, EventArgs e)
{
string distribution = DistributionComboBox.SelectedItem.ToString();
int count = (int)CountInput.Value;
int seed = (int)SeedInput.Value;
int multiplier = (int)MultiplierInput.Value;
int range = (int)RangeInput.Value;
bool showAllNumbers = !DisplayedNumbersLimiter.Checked;
IGenerator generator;
MLCG generatorMLCG = new MLCG(seed, multiplier, range);
ClearComponents();
GeneratingProgress.Maximum = count;
switch (distribution)
{
case "Uniform":
generator = new UniformGenerator(Input1.Value, Input2.Value, generatorMLCG);
break;
case "Gauss":
generator = new GaussGenerator(Input1.Value, Input2.Value, Input3.Value, count, generatorMLCG);
break;
case "Exponential":
generator = new ExponentialGenerator(Input1.Value, generatorMLCG);
break;
case "Gamma":
generator = new GammaGenerator(Input1.Value, Input2.Value, count, generatorMLCG);
break;
case "Triangular":
generator = new TriangularGenerator(Input1.Value, Input2.Value, TriangularMinCheckBox.Checked, count, generatorMLCG);
break;
case "Simpson":
generator = new SimpsonGenerator(Input1.Value, Input2.Value, count, generatorMLCG);
break;
default:
generator = generatorMLCG;
break;
}
await Task.Factory.StartNew(() =>
{
ProgressStage("Generating numbers...");
for (int i = 0; i < count; i++)
{
if (showAllNumbers || i < 100)
{
string row = $"{i + 1}. {generator.NextNumber()}";
ExecuteInUIThread(() => NumbersList.Items.Add(row));
}
else
{
generator.NextNumber();
}
ExecuteInUIThread(() => GeneratingProgress.Value++);
}
ProgressStage("Calculating statistics...");
Calculations calculations = new Calculations(generator);
AddToOutputBox($"M = {calculations.ExpectedValue:F5}");
AddToOutputBox($"D = {calculations.Variance:F5}");
AddToOutputBox($"σ = {calculations.StandardDeviation:F5}");
ProgressStage("Building plot...");
calculations.BuildHistogram(Plot.plt);
Plot.Render();
ProgressStage("Complete.");
});
}
public Simulator(double inputIntensity, double outputIntensity)
{
this.inputIntensity = inputIntensity;
this.outputIntensity = outputIntensity;
random = new ExponentialGenerator(inputIntensity);
}
