ContinuousUniformDistribution(
RandomSource random
)
: base(random)
{
SetDistributionParameters(0.0, 1.0);
}
ParetoDistribution(
RandomSource random
)
: base(random)
{
SetDistributionParameters(1.0, 1.0);
}
ArbitraryDistribution(
RandomSource random
)
: base(random)
{
SetDistributionParameters(0, 1.0);
}
BernoulliDistribution(
RandomSource random
)
: base(random)
{
SetDistributionParameters(0.5);
}
/// <summary>
/// Initializes a new instance, using the specified <see cref="RandomSource"/>
/// as underlying random number generator.
/// </summary>
/// <param name="random">A <see cref="RandomSource"/> object.</param>
/// <exception cref="ArgumentNullException">
/// <paramref name="random"/> is NULL (<see langword="Nothing"/> in Visual Basic).
/// </exception>
public BetaDistribution(RandomSource random)
: base(random)
{
SetDistributionParameters(1.0, 1.0);
_gammaAlpha = new GammaDistribution(random);
_gammaBeta = new GammaDistribution(random);
}
CauchyLorentzDistribution(
RandomSource random
)
: base(random)
{
SetDistributionParameters(0.0, 1.0);
}
BinomialDistribution(
RandomSource random
)
: base(random)
{
SetDistributionParameters(0.5, 1);
}
DiscreteUniformDistribution(
RandomSource random
)
: base(random)
{
SetDistributionParameters(0, 1);
}
ErlangDistribution(
RandomSource random
)
: base(random)
{
SetDistributionParameters(1, 1.0);
}
LaplaceDistribution(
RandomSource random
)
: base(random)
{
SetDistributionParameters(0.0, 1.0);
}
StableDistribution(
RandomSource random
)
: base(random)
{
SetDistributionParameters(0.0, 1.0, 1.0, 0.0);
InitDistributions();
}
ChiDistribution(
RandomSource random
)
: base(random)
{
_standard = new StandardDistribution(random);
SetDistributionParameters(1);
}
public ZipfDistribution(double skew, int seed)
{
if (skew <= 1d) throw new ArgumentOutOfRangeException("skew", skew,
"The skew should be greater than 1.0.");
this.skew = skew;
random = new SystemRandomSource(seed);
}
NormalDistribution(
RandomSource random
)
: base(random)
{
_standard = new StandardDistribution(random);
SetDistributionParameters(0.0, 1.0);
}
FisherSnedecorDistribution(
RandomSource random
)
: base(random)
{
_chiSquaredAlpha = new ChiSquareDistribution(random);
_chiSquaredBeta = new ChiSquareDistribution(random);
SetDistributionParameters(1, 1);
}
public PetriNetScheduler()
{
_schedulablesWithEvent = new List<ISchedulable>(128);
_deltaEvents = new List<SchedulerEventItem>(128);
_timeline = new Timeline();
_schedule = new ScheduleStore();
_simulationTime = TimeSpan.Zero;
_random = new SystemRandomSource();
}
StudentsTDistribution(
RandomSource random
)
: base(random)
{
_standardDistribution = new StandardDistribution(RandomSource);
_chiSquareDistribution = new ChiSquareDistribution(RandomSource);
SetDistributionParameters(1);
}
/// <summary>
/// Create a zipf distribution with the provided skew.
/// </summary>
public ZipfDistribution(double skew)
{
if(skew <= 1d)
{
throw new ArgumentOutOfRangeException("skew", skew, string.Format(Resources.ArgumentOutOfRangeGreater, "skew", "1.0"));
}
this.skew = skew;
random = new SystemRandomSource();
}
/// <summary>
/// Create a gaussian noise source with normally distributed amplitudes.
/// </summary>
/// <param name="uniformWhiteRandomSource">Uniform white random source.</param>
/// <param name="mean">mu-parameter of the normal distribution</param>
/// <param name="standardDeviation">sigma-parameter of the normal distribution</param>
public WhiteGaussianNoiseSource(
RandomSource uniformWhiteRandomSource,
double mean,
double standardDeviation
)
{
NormalDistribution gaussian = new NormalDistribution(uniformWhiteRandomSource);
gaussian.SetDistributionParameters(mean, standardDeviation);
_distribution = gaussian;
}
DiscreteDistribution(
RandomSource random
)
{
if(random == null)
{
string message = string.Format(null, Resources.ArgumentNull, "generator");
throw new ArgumentNullException("generator", message);
}
_random = random;
}
/// <summary>
/// Create a skew alpha stable noise source.
/// </summary>
/// <param name="uniformWhiteRandomSource">Uniform white random source.</param>
/// <param name="location">mu-parameter of the stable distribution</param>
/// <param name="scale">c-parameter of the stable distribution</param>
/// <param name="exponent">alpha-parameter of the stable distribution</param>
/// <param name="skewness">beta-parameter of the stable distribution</param>
public StableNoiseSource(
RandomSource uniformWhiteRandomSource,
double location,
double scale,
double exponent,
double skewness
)
{
StableDistribution stable = new StableDistribution(uniformWhiteRandomSource);
stable.SetDistributionParameters(location, scale, exponent, skewness);
_distribution = stable;
}
/// <summary>
/// Initializes a new instance, using the specified <see cref="RandomSource"/>
/// as underlying random number generator.
/// </summary>
/// <param name="random">A <see cref="RandomSource"/> object.</param>
/// <exception cref="ArgumentNullException">
/// <paramref name="random"/> is NULL (<see langword="Nothing"/> in Visual Basic).
/// </exception>
public PoissonDistribution(RandomSource random)
: base(random)
{
SetDistributionParameters(1.0);
}
ExponentialDistribution(
RandomSource random
)
: base(random)
{
SetDistributionParameters(1.0);
}
TriangularDistribution(
RandomSource random
)
: base(random)
{
SetDistributionParameters(0.0, 1.0, 0.5);
}
/// <summary>
/// Zipfian generator with a default <c>skew</c> equal to <c>2</c>.
/// </summary>
public ZipfDistribution()
{
this.skew = 2d;
random = new SystemRandomSource();
}
HypergeometricDistribution(
RandomSource random
)
: base(random)
{
SetDistributionParameters(2, 1, 1);
}
/// <summary>
/// Zipfian generator with a default <c>skew</c> equal to <c>2</c>.
/// </summary>
/// <param name="random">A <see cref="RandomSource"/> object.</param>
public ZipfDistribution(RandomSource random)
{
this.skew = 2d;
this.random = random;
}
StandardDistribution(
RandomSource random
)
: base(random)
{
}
/// <summary>
/// Initializes a new instance, using the specified <see cref="RandomSource"/>
/// as underlying random number generator.
/// </summary>
/// <param name="random">A <see cref="RandomSource"/> object.</param>
/// <exception cref="ArgumentNullException">
/// <paramref name="random"/> is NULL (<see langword="Nothing"/> in Visual Basic).
/// </exception>
public GeometricDistribution(RandomSource random)
: base(random)
{
SetDistributionParameters(0.5);
}
/// <summary>
/// Initializes a new instance, using the specified <see cref="RandomSource"/>
/// as underlying random number generator.
/// </summary>
/// <param name="random">A <see cref="RandomSource"/> object.</param>
/// <exception cref="ArgumentNullException">
/// <paramref name="random"/> is NULL (<see langword="Nothing"/> in Visual Basic).
/// </exception>
public GammaDistribution(RandomSource random)
: base(random)
{
SetDistributionParameters(1.0, 1.0);
}