/// <summary>
/// Evidence message for EP.
/// </summary>
/// <param name="and">Incoming message from 'and'.</param>
/// <param name="a">Constant value for 'a'.</param>
/// <param name="b">Constant value for 'b'.</param>
/// <returns>Logarithm of the factor's average value across the given argument distributions.</returns>
/// <remarks><para>
/// The formula for the result is <c>log(sum_(and) p(and) factor(and,a,b))</c>.
/// </para></remarks>
public static double LogAverageFactor(Bernoulli and, bool a, bool b)
{
return(and.GetLogProb(Factor.And(a, b)));
}
/// <summary>
/// Evidence message for EP.
/// </summary>
/// <param name="and">Constant value for 'and'.</param>
/// <param name="a">Constant value for 'a'.</param>
/// <param name="b">Constant value for 'b'.</param>
/// <returns>Logarithm of the factor's average value across the given argument distributions.</returns>
/// <remarks><para>
/// The formula for the result is <c>log(sum_() p() factor(and,a,b))</c>.
/// </para></remarks>
public static double LogAverageFactor(bool and, bool a, bool b)
{
return((and == Factor.And(a, b)) ? 0.0 : Double.NegativeInfinity);
}