GaussianDistribution Class

Implements a BoxMuller method for generating statistically normal random numbers.

Inheritance Hierarchy

SystemObject
GSF.NumericalAnalysisGaussianDistribution

Namespace: GSF.NumericalAnalysis
Assembly: GSF.Core (in GSF.Core.dll) Version: 2.4.218-beta+101eee949414e414795e55a6e73d88938f0177b8

Syntax

public class GaussianDistribution

Public Class GaussianDistribution

public ref class GaussianDistribution

type GaussianDistribution = class end

GSF.NumericalAnalysis.GaussianDistribution = function();

Type.createClass(
	'GSF.NumericalAnalysis.GaussianDistribution');

The GaussianDistribution type exposes the following members.

Constructors

	Name	Description
	GaussianDistribution	Creates a GaussianDistribution

Methods

	Name	Description
	Equals	Determines whether the specified object is equal to the current object. (Inherited from Object)
	Finalize	Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object)
	GetHashCode	Serves as the default hash function. (Inherited from Object)
	GetType	Gets the Type of the current instance. (Inherited from Object)
	MemberwiseClone	Creates a shallow copy of the current Object. (Inherited from Object)
	Next	Gets the next random value.
	ToString	Returns a string that represents the current object. (Inherited from Object)

Extension Methods

	Name	Description
	GetEnumValueOrDefault	Gets the enumeration constant for value, if defined in the enumeration, or a default value. (Defined by EnumExtensions)
	GetEnumValueOrDefaultT	Gets the enumeration constant for this value, if defined in the enumeration, or a default value. (Defined by EnumExtensions)