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RandGenExponential Class

Class RandGenExponential generates random numbers from an exponential distribution.
Inheritance Hierarchy

Namespace:  CenterSpace.NMath.Core
Assembly:  NMath (in NMath.dll) Version: 7.3
Syntax
public class RandGenExponential : RandomNumberGenerator

The RandGenExponential type exposes the following members.

Constructors
  NameDescription
Public methodRandGenExponential
Constructs a random number generator using a RandGenMTwist as the underlying uniform random number generator. Generated random numbers will follow an exponential distribution with lambda equal 1.
Public methodRandGenExponential(Double)
Constructs a random number generator using a RandGenMTwist as the underlying uniform random number generator. Generated random numbers will follow an exponential distribution with the specified lambda.
Public methodRandGenExponential(Int32)
Constructs a random number generator using a seeded RandGenMTwist as the underlying uniform random number generator. Generated random numbers will follow an exponential distribution with lambda equal 1.
Public methodRandGenExponential(RandomNumberGeneratorUniformRandomNumber)
Constructs a random number generator using the given delegate as the underlying uniform random number generator. Generated random numbers will follow an exponential distribution with lambda equal 1.
Public methodRandGenExponential(Double, RandomNumberGeneratorUniformRandomNumber)
Constructs a random number generator using the given delegate as the underlying uniform random number generator. Generated random numbers will follow an exponential distribution with the specified lambda.
Public methodRandGenExponential(Double, Int32)
Constructs a random number generator using a seeded RandGenMTwist as the underlying uniform random number generator. Generated random numbers will follow an exponential distribution with the specified lambda.
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Properties
  NameDescription
Public propertyLambda
Gets and sets the lambda of the exponential distribution.
Public propertyUniformDeviateMethod
Gets and sets the delegate method for generating uniform deviates between zero and one.
(Inherited from RandomNumberGenerator.)
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Methods
  NameDescription
Public methodClone
Creates a deep copy of this random number generator.
(Overrides RandomNumberGeneratorClone.)
Public methodFill(Double)
Fills the given array of doubles with random values.
(Overrides RandomNumberGeneratorFill(Double).)
Public methodFill(Single)
Fills the given array of floats with random values.
(Inherited from RandomNumberGenerator.)
Public methodFill(DoubleComplex)
Fills the given array of double-precision complex numbers with random values.
(Overrides RandomNumberGeneratorFill(DoubleComplex).)
Public methodFill(DoubleDataBlock)
Fills the given data block with random values.
(Inherited from RandomNumberGenerator.)
Public methodFill(FloatComplex)
Fills the given array of single-precision complex numbers with random values.
(Inherited from RandomNumberGenerator.)
Public methodNext
Generates a random number.
Public methodNextDouble
Generates a double precision random number.
(Overrides RandomNumberGeneratorNextDouble.)
Public methodNextDoubleComplex
Method for generating a double precision complex number random deviate.
(Overrides RandomNumberGeneratorNextDoubleComplex.)
Public methodNextFloat
Method for generating a single precision random deviate.
(Inherited from RandomNumberGenerator.)
Public methodNextFloatComplex
Method for generating a single precision complex number random deviate.
(Inherited from RandomNumberGenerator.)
Public methodReset
Resets the random number generator using a random seed.
(Inherited from RandomNumberGenerator.)
Public methodReset(Int32)
Resets the random number generator with the specified seed.
(Inherited from RandomNumberGenerator.)
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Fields
  NameDescription
Protected fieldrand_
A delegate method for generating uniform deviates between zero and one.
(Inherited from RandomNumberGenerator.)
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Remarks
A random variable, W, is said to have an exponential distribution if it as a probability density function g(w) = lambda*exp(-lambda*w), where lambda > 0. The mean of an exponential distribution is 1/lambda, and the variance is 1/lambda*lambda.
See Also