public MultivariateDistributionSettingsForm(MultivariateDistributionFunctionArgument argument) : this(false, true)
{
int dimension = argument.MultivariateDistributionSettings.Dimension;
numericDimensions.Value = dimension;
BuildTables();
var arguments = argument.Arguments;
var means = argument.MultivariateDistributionSettings.Means;
var covMatrix = argument.MultivariateDistributionSettings.CovarianceMatrix;
for (int i = 0; i < dimension; i++)
{
_arguments.Rows[0][i] = arguments[i];
_means.Rows[0][i] = means[i];
for (int j = 0; j < dimension; j++)
{
_matrix.Rows[j][i] = covMatrix[i, j];
}
}
if (argument.MultivariateDistributionSettings is MultivariateNormalDistributionSettings)
{
comboDistributionType.SelectedIndex = 0;
}
else if (argument.MultivariateDistributionSettings is MultivariateTDistributionSettings multivariateT)
{
numericDegreesOfFreedom.Value = (decimal)multivariateT.DegreesOfFreedom;
comboDistributionType.SelectedIndex = 1;
}
}
private void Process()
{
#if !DEBUG
try
#endif
{
_warningsSource.Clear();
string expression = txtFunction.Text;
bool evaluateRandomsAlgebra = checkEvaluateRandomsAlgebra.Checked;
bool evaluateMonteCarlo = checkEvaluateMonteCarlo.Checked;
int samples = (int)numericSamplesCount.Value;
int experiments = (int)numericExperimentsCount.Value;
int pockets = (int)numericPocketsCount.Value;
var univariate = DistributionFunctionArgument.CreateDictionary(_argumentsUnivariate);
var multivariate = MultivariateDistributionFunctionArgument.CreateDictionary(_argumentsMultivariate);
if (multivariate.Count == 0)
{
multivariate = null;
}
Stopwatch sw = Stopwatch.StartNew();
if (evaluateRandomsAlgebra)
{
sw.Restart();
_distributionsPair.RandomsAlgebra = DistributionManager.RandomsAlgebraDistribution(expression, univariate, multivariate, samples);
if (_distributionsPair.RandomsAlgebra is ContinuousDistribution continuous)
{
//_distributionsPair.RandomsAlgebra = continuous.Discretize();
}
sw.Stop();
_distributionsPair.RandomsAlgebraTime = sw.Elapsed;
}
else
{
_distributionsPair.RandomsAlgebra = null;
_distributionsPair.RandomsAlgebraTime = null;
}
if (evaluateMonteCarlo)
{
sw.Restart();
_distributionsPair.MonteCarlo = DistributionManager.MonteCarloDistribution(expression, univariate, multivariate, experiments, pockets);
sw.Stop();
_distributionsPair.MonteCarloTime = sw.Elapsed;
}
else
{
_distributionsPair.MonteCarlo = null;
_distributionsPair.MonteCarloTime = null;
}
FillResults();
FillCharts();
}
#if !DEBUG
catch (Exception ex)
{
MessageBox.Show(ex.Message, Languages.GetText("Exception"), MessageBoxButtons.OK, MessageBoxIcon.Error);
}
#endif
}