public override object Evaluate()
{
double rate = LeftExpression.EvaluateAsReal();
double x = RightExpression.EvaluateAsReal();
return((Complex) new ExponentialDistribution(rate).ProbabilityDensityFunction(x));
}
public override object Evaluate()
{
double rate = LeftExpression.EvaluateAsReal();
double x = RightExpression.EvaluateAsReal();
return((Complex) new ExponentialDistribution(rate).CumulativeDistributionFunction(x));
}
public override object Evaluate()
{
double a = LeftExpression.EvaluateAsReal();
double b = RightExpression.EvaluateAsReal();
return((Complex) new UniformDistribution(a, b).GetRandomVariable(_random));
}
public override object Evaluate()
{
double x = LeftExpression.EvaluateAsReal();
double y = RightExpression.EvaluateAsReal();
return((Complex)(x % y));
}
public override object Evaluate()
{
double y = LeftExpression.EvaluateAsReal();
double x = RightExpression.EvaluateAsReal();
return((Complex)Math.Atan2(y, x));
}
public override object Evaluate()
{
double r = LeftExpression.EvaluateAsReal();
double theta = RightExpression.EvaluateAsReal();
return(new CMatrix(CoordSysConverter.PolarToCartesian(r, theta)));
}
public override object Evaluate()
{
double x = LeftExpression.EvaluateAsReal();
double y = RightExpression.EvaluateAsReal();
return(new CMatrix(CoordSysConverter.CartesianToPolar(x, y)));
}
public override object Evaluate()
{
double rate = LeftExpression.EvaluateAsReal();
int count = RightExpression.EvaluateAsInt32();
PerformanceManager.Current.EnsureAcceptableArraySize(count);
double[] v = new double[count];
new ExponentialDistribution(rate).GetRandomVariables(_random, v);
return(new CMatrix(v));
}
