[SerializableAttribute]
public sealed class MersenneTwister : RandomWordGenerator

<SerializableAttribute>
Public NotInheritable Class MersenneTwister
	Inherits RandomWordGenerator

[SerializableAttribute]
public ref class MersenneTwister sealed : public RandomWordGenerator

[<SealedAttribute>]
[<SerializableAttribute>]
type MersenneTwister =  
    class
        inherit RandomWordGenerator
    end

The MersenneTwister type exposes the following members.

	Name	Description
	MersenneTwister	Initializes a new instance of the MersenneTwister class using a time-dependent default seed value.
	MersenneTwister(Int32)	Initializes a new instance of the MersenneTwister class using the specified seed value.
	MersenneTwister(Int32)	Initializes a new instance of the MersenneTwister class using the specified seed array of seed values.

	Name	Description
	Equals	Determines whether the specified Object is equal to the current Object. (Inherited from Object.)
	GetHashCode	Serves as a hash function for a particular type. (Inherited from Object.)
	GetType	Gets the Type of the current instance. (Inherited from Object.)
	Next	Returns a nonnegative random number. (Inherited from RandomWordGenerator.)
	Next(Int32)	Returns a nonnegative random number less than the specified maximum. (Inherited from Random.)
	Next(Int32, Int32)	Returns a random number within a specified range. (Inherited from Random.)
	NextBytes	Fills the elements of a specified array of bytes with random numbers. (Inherited from RandomWordGenerator.)
	NextDouble	Returns a random number between 0 and 1. (Inherited from RandomWordGenerator.)
	Restart	Restarts the random number generator using the original seed. (Overrides ExtendedRandomRestart.)
	Restart(Int32)	Restarts the random number generator using the specified seed. (Overrides ExtendedRandomRestart(Int32).)
	Restart(Int32)	Restarts the random number generator using the specified seed array.
	ToString	Returns a string that represents the current object. (Inherited from Object.)

	Name	Description
	AsParallel	Returns a thread-safe version of this random number generator. (Defined by RandomExtensions.)
	CorrelatedSamples	Generates a series of random variables with the specified correlation matrix. (Defined by RandomExtensions.)
	Fill(IListDouble)	Overloaded. Fills a Double array with random numbers. (Defined by RandomExtensions.)
	Fill(IListInt32)	Overloaded. Fills an Int32 array with random numbers. (Defined by RandomExtensions.)
	Fill(Double, ContinuousDistribution)	Overloaded. Fills a Double array with random samples from the specified distribution. (Defined by RandomExtensions.)
	Fill(Int32, DiscreteDistribution)	Overloaded. Fills an Int32 array with random samples from the specified distribution. (Defined by RandomExtensions.)
	Fill(VectorDouble, ContinuousDistribution)	Overloaded. Fills a vector with random samples from the specified distribution. (Defined by RandomExtensions.)
	Fill(VectorDouble, DiscreteDistribution)	Overloaded. Fills a vector with random samples from the specified distribution. (Defined by RandomExtensions.)
	Fill(IListDouble, Int32, Int32)	Overloaded. Fills a Double array with random numbers. (Defined by RandomExtensions.)
	Fill(IListInt32, Int32, Int32)	Overloaded. Fills an Int32 array with random numbers. (Defined by RandomExtensions.)
	Fill(Double, Int32, Int32, ContinuousDistribution)	Overloaded. Fills a Double array with random samples from the specified distribution. (Defined by RandomExtensions.)
	Fill(Int32, Int32, Int32, DiscreteDistribution)	Overloaded. Fills an Int32 array with random samples from the specified distribution. (Defined by RandomExtensions.)
	FillNormal(IListDouble)	Overloaded. Fills a list with normal random numbers with zero mean and unit standard deviation. (Defined by RandomExtensions.)
	FillNormal(IListDouble, Int32, Int32)	Overloaded. Fills a list with normal random numbers with zero mean and unit standard deviation. (Defined by RandomExtensions.)
	Next	Returns a sample from the specified distribution. (Defined by RandomExtensions.)
	NextDouble	Returns a sample from the specified distribution. (Defined by RandomExtensions.)

Use the MersenneTwister class to represent a pseudo-this.random number generator that uses the Mersenne Twister algorithm of Takuji Nishimura and Makoto Matsumoto.

This generator has a very long period of 2¹⁹⁹³⁷-1. This period is a Mersenne prime number (since 19937 is prime), whence its name. The algorithm is very fast and produces very good random sequences.

MersenneTwister can be used in place of the Random class to obtain pseudo-random numbers of a higher quality.

The Mersenne Twister is a linear random number generator. This makes it unsuitable for use in cryptography applications. To generate a cryptographically secure random number suitable for creating a random password, for example, use a class derived from RandomNumberGenerator such as RNGCryptoServiceProvider.

Numerical Libraries

Reference