public override object Evaluate()
{
double a = FirstExpression.EvaluateAsReal();
double b = SecondExpression.EvaluateAsReal();
double x = ThirdExpression.EvaluateAsReal();
return((Complex) new UniformDistribution(a, b).CumulativeDistributionFunction(x));
}
public override object Evaluate()
{
double r = FirstExpression.EvaluateAsReal();
double theta = SecondExpression.EvaluateAsReal();
double phi = ThirdExpression.EvaluateAsReal();
return(new CMatrix(CoordSysConverter.SphericalToCartesian(r, theta, phi)));
}
public override object Evaluate()
{
double mean = FirstExpression.EvaluateAsReal();
double stdev = SecondExpression.EvaluateAsReal();
double x = ThirdExpression.EvaluateAsReal();
return((Complex) new NormalDistribution(mean, stdev).CumulativeDistributionFunction(x));
}
public override object Evaluate()
{
double x = FirstExpression.EvaluateAsReal();
double y = SecondExpression.EvaluateAsReal();
double z = ThirdExpression.EvaluateAsReal();
return(new CMatrix(CoordSysConverter.CartesianToSpherical(x, y, z)));
}
public override object Evaluate()
{
double a = FirstExpression.EvaluateAsReal();
double b = SecondExpression.EvaluateAsReal();
int count = ThirdExpression.EvaluateAsInt32();
PerformanceManager.Current.EnsureAcceptableArraySize(count);
double[] v = new double[count];
new UniformDistribution(a, b).GetRandomVariables(_random, v);
return(new CMatrix(v));
}
