/// <summary>
/// The maximum difference in parameter values between this distribution and that distribution
/// </summary>
/// <param name="that">That distribution</param>
/// <returns>The maximum difference</returns>
public virtual double MaxDiff(object that)
{
DistributionArray <T> thatd = that as DistributionArray <T>;
if ((object)thatd == null)
{
return(Double.PositiveInfinity);
}
return(Distribution.MaxDiff(this.array, thatd.array));
}
/// <summary>
/// The expected logarithm of that distribution under this distribution.
/// </summary>
/// <param name="that">The distribution to take the logarithm of.</param>
/// <returns><c>sum_x this.Evaluate(x)*Math.Log(that.Evaluate(x))</c></returns>
/// <remarks>This is also known as the cross entropy.
/// For a DistributionArray, this specializes to:
/// <c>sum_i sum_x this[i].Evaluate(x)*Math.Log(that[i].Evaluate(x))</c>
/// = <c>sum_i this[i].GetAverageLog(that[i])</c>
/// </remarks>
public double GetAverageLog(DistributionArray <T> that)
{
return(Distribution.GetAverageLog(array, that.array));
}
/// <summary>
/// Sets the current instance to an array of distributions each element
/// of which is a weighted sum of the corresponding distributions in two given
/// distribution arrays
/// </summary>
/// <param name="weight1">The first weight</param>
/// <param name="a">The first distribution array</param>
/// <param name="weight2">The second weight</param>
/// <param name="b">The second distribution array</param>
public void SetToSum(double weight1, DistributionArray <T> a, double weight2, DistributionArray <T> b)
{
Distribution.SetToSum(array, weight1, a.array, weight2, b.array);
}
/// <summary>
/// Sets the current instance to an array of distributions each element
/// of which is a power of the corresponding element in a source distribution array
/// </summary>
/// <param name="a">The source distribution array</param>
/// <param name="exponent">The exponent</param>
public void SetToPower(DistributionArray <T> a, double exponent)
{
Distribution.SetToPower(array, a.array, exponent);
}
/// <summary>
/// Sets the current instance to an array of distributions each element
/// of which is a ratio of the corrresponding distributions in two given
/// distribution arrays
/// </summary>
/// <param name="numerator">The numerator distribution array</param>
/// <param name="denominator">The denominator distribution array</param>
public void SetToRatio(DistributionArray <T> numerator, DistributionArray <T> denominator)
{
Distribution.SetToRatio(array, numerator.array, denominator.array);
}
/// <summary>
/// Sets the current instance to an array of distributions each element
/// of which is a product of the corresponding distributions in two given
/// distribution arrays
/// </summary>
/// <param name="a">The first distribution array</param>
/// <param name="b">The second distribution array</param>
public void SetToProduct(DistributionArray <T> a, DistributionArray <T> b)
{
Distribution.SetToProduct(array, a.array, b.array);
}
public void SetTo(DistributionArray <T> that)
{
base.SetTo(that);
}
