public void TruncatedGaussianNormaliser()
{
double a = 0, b = 2;
var g = new TruncatedGaussian(3, 1, a, b);
double Z = Quadrature.AdaptiveTrapeziumRule(x => System.Math.Exp(g.GetLogProb(x)), 32, a, b, 1e-10, 10000);
Assert.True((1.0 - Z) < 1e-4);
}
/// <include file='FactorDocs.xml' path='factor_docs/message_op_class[@name="DoublePlusOp"]/message_doc[@name="LogAverageFactor(TruncatedGaussian, double, double)"]/*'/>
public static double LogAverageFactor([SkipIfUniform] TruncatedGaussian sum, double a, double b)
{
return(sum.GetLogProb(Factor.Plus(a, b)));
}
/// <include file='FactorDocs.xml' path='factor_docs/message_op_class[@name="DoublePlusOp"]/message_doc[@name="LogAverageFactor(double, double, TruncatedGaussian)"]/*'/>
public static double LogAverageFactor(double sum, double a, [SkipIfUniform] TruncatedGaussian b)
{
TruncatedGaussian to_sum = SumAverageConditional(a, b);
return(to_sum.GetLogProb(sum));
}
