FloatRandomLogNormalDistribution Class

Class FloatRandomLogNormalDistribution generates random numbers from a lognormal distribution.

Inheritance Hierarchy

SystemObject
CenterSpace.NMath.CoreFloatRandomLogNormalDistribution

Namespace: CenterSpace.NMath.Core
Assembly: NMath (in NMath.dll) Version: 7.4

Syntax

public class FloatRandomLogNormalDistribution : IRandomNumberDistribution<float>, 
	ICloneable

Public Class FloatRandomLogNormalDistribution
	Implements IRandomNumberDistribution(Of Single), ICloneable

public ref class FloatRandomLogNormalDistribution : IRandomNumberDistribution<float>, 
	ICloneable

type FloatRandomLogNormalDistribution = 
    class
        interface IRandomNumberDistribution<float32>
        interface ICloneable
    end

The FloatRandomLogNormalDistribution type exposes the following members.

Constructors

	Name	Description
	FloatRandomLogNormalDistribution	Constructs a random number generator for a beta distribution using default mean of 0.0, sigma of 1.0, displacement of 0.0, and scale of 1.0.
	FloatRandomLogNormalDistribution(Single, Single, Single, Single)	Constructs a random number generator for a beta distribution using the specified distribution parameters.
	FloatRandomLogNormalDistribution(Single, Single, Single, Single, FloatRandomLogNormalDistributionGenerationMethod)	Constructs a random number generator for a beta distribution using the specified distribution parameters.

Properties

	Name	Description
	Displacement	Gets the displacement.
	Mean	Gets the average of the subject normal distribution.
	Method	Gets the generation method.
	Scale	Gets the scale.
	Sigma	Gets the standard deviation of the subject normal distribution.

Methods

	Name	Description
	Clone	Creates a deep copy of this random number generator.
	Fill(RandomNumberStream, FloatVector, Int32, Int32)	Uses the given random number stream to fill the given vector of floats with random values.
	Fill(RandomNumberStream, Single, Int32, Int32)	Uses the given random number stream to fill the given array of integers with random values.