public PolynomialChaosAnalyzer(Model model, IAnalyzerProvider provider, IAnalyzer embeddedAnalyzer, IDictionary <int, ISolverSubdomain> subdomains, IPCCoefficientsProvider coefficientsProvider, int expansionOrder, int simulations, bool shouldFactorizeMatrices)
{
this.shouldFactorizeMatrices = shouldFactorizeMatrices;
this.childAnalyzer = embeddedAnalyzer;
this.provider = provider;
this.model = model;
this.subdomains = subdomains;
this.expansionOrder = coefficientsProvider.ExpansionOrder;
this.simulations = simulations;
this.childAnalyzer.ParentAnalyzer = this;
this.matrices = new Dictionary <int, IMatrix2D <double> > [coefficientsProvider.NoOfMatrices + 1];
this.randomNumbers = new double[simulations][];
this.coefficientsProvider = coefficientsProvider;
NormalDistribution n = new NormalDistribution();
n.Mu = 0;
n.Sigma = 1;
string[] randoms = new string[simulations];
for (int i = 0; i < simulations; i++)
{
randomNumbers[i] = new double[expansionOrder];
for (int j = 0; j < expansionOrder; j++)
{
randomNumbers[i][j] = n.NextDouble();
}
randoms[i] = randomNumbers[i][0].ToString();
}
//File.WriteAllLines(String.Format(@"randoms.txt", expansionOrder), randoms);
}
public PolynomialChaosAnalyzer(Model model, IAnalyzerProvider provider, IAnalyzer embeddedAnalyzer, IDictionary <int, ISolverSubdomain> subdomains, IPCCoefficientsProvider coefficientsProvider, int expansionOrder, int simulations)
: this(model, provider, embeddedAnalyzer, subdomains, coefficientsProvider, expansionOrder, simulations, true)
{
}
