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Ran205 Class

Ran205: L'Ecuyer's 1996 combined multiple recursive PRNG. Returns an integer random number uniformly distributed within [0,2147483646]. The period length is approximately 2^205 (=5*10^61). The generator returns uniformly distributed integers in the range [0,2^31-2]. It passes all current standard statistical tests.
Inheritance Hierarchy
SystemObject
  Altaxo.Calc.Probability.OldRandomGenerator
    Altaxo.Calc.Probability.OldRan205

Namespace: Altaxo.Calc.Probability.Old
Assembly: AltaxoCore (in AltaxoCore.dll) Version: 4.8.3179.0 (4.8.3179.0)
Syntax
C#
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public class Ran205 : RandomGenerator

The Ran205 type exposes the following members.

Constructors
 NameDescription
Public methodRan205Initializes a new instance of the Ran205 class
Public methodRan205(UInt32)Initializes a new instance of the Ran205 class
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Properties
 NameDescription
Public propertyMaximumThe maximum value of the random number which can be returned.
(Inherited from RandomGenerator)
Public propertySeedThe seed value.
(Inherited from RandomGenerator)
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Methods
 NameDescription
Public methodEqualsDetermines whether the specified object is equal to the current object.
(Inherited from Object)
Protected methodFinalizeAllows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.
(Inherited from Object)
Public methodGetHashCodeServes as the default hash function.
(Inherited from Object)
Public methodGetTypeGets the Type of the current instance.
(Inherited from Object)
Public methodLong
(Overrides RandomGeneratorLong)
Protected methodMemberwiseCloneCreates a shallow copy of the current Object.
(Inherited from Object)
Public methodToStringReturns a string that represents the current object.
(Inherited from Object)
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Fields
 NameDescription
Protected fieldmax_valUniform long int values within [0...max_val].
(Inherited from RandomGenerator)
Protected fieldseedThe seed of the random generator.
(Inherited from RandomGenerator)
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Remarks
C#
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References:
  (1) P. L'Ecuyer, "Combined Multiple Recursive Generators,"
      Operations Research 44, 5, pp. 816-822 (1996), see figure 1.
  (2) recommended in:
      P. L'Ecuyer, "Random number generation", chapter 4 of the
      Handbook on Simulation, Ed. Jerry Banks, Wiley, 1997.

Notes:
   -  This generator is very slow
See Also