DirichletDistribution Methods

Methods

EqualsDetermines whether the specified object is equal to the current object.
(Inherited from Object)
FillSample(IRandomSource, Vector<Double>) Fills a vector with a random sample from the distribution.
(Inherited from MultivariateContinuousDistribution)
FillSample(IRandomSource, Span<Double>) Fills a span with a random sample from the distribution.
(Inherited from MultivariateContinuousDistribution)
FillSample(Random, Vector<Double>) Fills a vector with a random sample from the distribution.
(Inherited from MultivariateContinuousDistribution)
FillSample(Random, Double[]) Fills a Double array with random numbers.
(Inherited from MultivariateContinuousDistribution)
FillSample(Random, Span<Double>) Fills a span with a random sample from the distribution.
(Inherited from MultivariateContinuousDistribution)
FillSample<TGenerator>(IRandomSource<TGenerator>, Vector<Double>) Fills a vector with a random sample from the distribution.
(Inherited from MultivariateContinuousDistribution)
FillSample<TGenerator>(IRandomSource<TGenerator>, Span<Double>) Fills a span with a random sample from the distribution.
(Inherited from MultivariateContinuousDistribution)
FillSamples(IRandomSource, Matrix<Double>) Fills the rows of a matrix with random samples from the distribution.
(Inherited from MultivariateContinuousDistribution)
FillSamples(Random, Matrix<Double>) Fills the rows of a matrix with random samples from the distribution.
(Inherited from MultivariateContinuousDistribution)
FillSamples<TGenerator>(IRandomSource<TGenerator>, Matrix<Double>) Fills the rows of a matrix with random samples from the distribution.
(Inherited from MultivariateContinuousDistribution)
GetHashCodeServes as the default hash function.
(Inherited from Object)
GetMeansReturns the read-only cached vector of distribution means.
(Overrides MultivariateContinuousDistribution.GetMeans())
GetParameters Returns a copy of the parameters of the distribution.
GetTypeGets the Type of the current instance.
(Inherited from Object)
GetVarianceCovarianceMatrixReturns the read-only cached variance-covariance matrix.
(Overrides MultivariateContinuousDistribution.GetVarianceCovarianceMatrix())
LogProbabilityDensityFunctionReturns the natural logarithm of the density on the open simplex.
(Overrides MultivariateContinuousDistribution.LogProbabilityDensityFunction(Vector<Double>))
ProbabilityDensityFunction Returns the value of the probability density function (PDF) of this distribution for the specified value.
(Inherited from MultivariateContinuousDistribution)
Sample(IRandomSource) Returns a random sample from the distribution.
(Inherited from MultivariateContinuousDistribution)
Sample(Random) Returns a random sample from the distribution.
(Inherited from MultivariateContinuousDistribution)
Sample(IRandomSource, Int32) Returns a matrix with random samples from the distribution.
(Inherited from MultivariateContinuousDistribution)
Sample(Random, Int32) Returns a matrix with random samples from the distribution.
(Inherited from MultivariateContinuousDistribution)
Sample<TGenerator>(IRandomSource<TGenerator>) Returns a random sample from the distribution.
(Inherited from MultivariateContinuousDistribution)
Sample<TGenerator>(IRandomSource<TGenerator>, Int32) Returns a matrix with random samples from the distribution.
(Inherited from MultivariateContinuousDistribution)
ToStringReturns a string that represents the current object.
(Inherited from Object)

See Also