/// <summary>
/// Take a sample from the distribution, using the provided <see cref="IRandomSource"/> as the source of entropy.
/// </summary>
/// <returns>A random sample.</returns>
public double Sample(IRandomSource rng)
{
if (_sample.HasValue)
{
double x = _sample.Value;
_sample = null;
return(x);
}
// Note. The Box-Muller transform generates samples in pairs.
(double x1, double x2) = BoxMullerGaussian.Sample(rng, _mean, _stdDev);
// Return the first sample and store the other for future use.
_sample = x2;
return(x1);
}
/// <summary>
/// Fill an array with samples from the distribution, using the provided <see cref="IRandomSource"/> as the source of entropy.
/// </summary>
/// <param name="buf">The array to fill with samples.</param>
/// <param name="rng">Random source.</param>
public void Sample(double[] buf, IRandomSource rng)
{
BoxMullerGaussian.Sample(rng, buf);
}
/// <summary>
/// Fill a span with samples from the distribution.
/// </summary>
/// <param name="span">The span to fill with samples.</param>
public void Sample(Span <double> span)
{
BoxMullerGaussian.Sample(_rng, span);
}
/// <summary>
/// Fill an array with samples from the distribution.
/// </summary>
/// <param name="buf">The array to fill with samples.</param>
public void Sample(double[] buf)
{
BoxMullerGaussian.Sample(_rng, buf);
}
/// <summary>
/// Fill a span with samples from the distribution, using the provided <see cref="IRandomSource"/> as the source of entropy.
/// </summary>
/// <param name="span">The span to fill with samples.</param>
/// <param name="rng">Random source.</param>
public void Sample(Span <double> span, IRandomSource rng)
{
BoxMullerGaussian.Sample(rng, span);
}
