public GammaGenerator(decimal eta, decimal lambda, int count, MLCG genMLCG)
{
Eta = (int)eta;
Lambda = (double)lambda;
_generatorMLCG = genMLCG;
for (int i = 0; i < count; i++)
{
_generatorMLCG.NextNumber();
}
}
public SimpsonGenerator(decimal a, decimal b, int count, MLCG genMLCG)
{
A = (double)a;
B = (double)b;
_intervalRandoms = new double[count];
for (int i = 0; i < count; i++)
{
_intervalRandoms[i] = (A / 2) + (B / 2 - A / 2) * genMLCG.NextNumber();
}
}
public TriangularGenerator(decimal a, decimal b, bool isMin, int count, MLCG genMLCG)
{
A = (double)a;
B = (double)b;
UsingMin = isMin;
_generatorMLCG = genMLCG;
for (int i = 0; i < count; i++)
{
_generatorMLCG.NextNumber();
}
}
public GaussGenerator(decimal n, decimal expectedValue, decimal standardDeviation, int count, MLCG genMLCG)
{
N = (int)n;
StandardDeviation = (double)standardDeviation;
ExpectedValue = (double)expectedValue;
_generatorMLCG = genMLCG;
for (int i = 0; i < count; i++)
{
_generatorMLCG.NextNumber();
}
}
public UniformGenerator(decimal a, decimal b, MLCG genMLCG)
{
A = (double)a;
B = (double)b;
_generatorMLCG = genMLCG;
}
public ExponentialGenerator(decimal lambda, MLCG genMLCG)
{
Lambda = (double)lambda;
_generatorMLCG = genMLCG;
}