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## Uses of Interface
org.apache.commons.math.random.RandomGenerator

Packages that use RandomGenerator
org.apache.commons.math.genetics | This package provides Genetic Algorithms components and implementations.
org.apache.commons.math.optimization | This package provides common interfaces for the optimization algorithms provided in sub-packages.
org.apache.commons.math.random | Random number and random data generators.
org.apache.commons.math.stat.ranking | Classes providing rank transformations.

Uses of RandomGenerator in org.apache.commons.math.genetics

Methods in org.apache.commons.math.genetics that return RandomGenerator
`static RandomGenerator` | `GeneticAlgorithm.getRandomGenerator()` Returns the (static) random generator.

Methods in org.apache.commons.math.genetics with parameters of type RandomGenerator
`static void` | `GeneticAlgorithm.setRandomGenerator(RandomGenerator random)` Set the (static) random generator.

Uses of RandomGenerator in org.apache.commons.math.optimization

Constructors in org.apache.commons.math.optimization with parameters of type RandomGenerator
`MultiStartUnivariateRealOptimizer(UnivariateRealOptimizer optimizer, int starts, RandomGenerator generator)` Create a multi-start optimizer from a single-start optimizer

Uses of RandomGenerator in org.apache.commons.math.random

Classes in org.apache.commons.math.random that implement RandomGenerator
`class` | `AbstractRandomGenerator` Abstract class implementing the `RandomGenerator` interface.
`class` | `AbstractWell` This abstract class implements the WELL class of pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
`class` | `BitsStreamGenerator` Base class for random number generators that generates bits streams.
`class` | `JDKRandomGenerator` Extension of `java.util.Random` to implement `RandomGenerator`.
`class` | `MersenneTwister` This class implements a powerful pseudo-random number generator developed by Makoto Matsumoto and Takuji Nishimura during 1996-1997.
`class` | `RandomAdaptor` Extension of `java.util.Random` wrapping a `RandomGenerator`.
`class` | `Well1024a` This class implements the WELL1024a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
`class` | `Well19937a` This class implements the WELL19937a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
`class` | `Well19937c` This class implements the WELL19937c pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
`class` | `Well44497a` This class implements the WELL44497a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
`class` | `Well44497b` This class implements the WELL44497b pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
`class` | `Well512a` This class implements the WELL512a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.

Methods in org.apache.commons.math.random with parameters of type RandomGenerator
`static Random` | `RandomAdaptor.createAdaptor(RandomGenerator randomGenerator)` Factory method to create a `Random` using the supplied `RandomGenerator`.

Constructors in org.apache.commons.math.random with parameters of type RandomGenerator
`GaussianRandomGenerator(RandomGenerator generator)` Create a new generator.
`RandomAdaptor(RandomGenerator randomGenerator)` Construct a RandomAdaptor wrapping the supplied RandomGenerator.
`RandomDataImpl(RandomGenerator rand)` Construct a RandomDataImpl using the supplied `RandomGenerator` as the source of (non-secure) random data.
`UniformRandomGenerator(RandomGenerator generator)` Create a new generator.
`UnitSphereRandomVectorGenerator(int dimension, RandomGenerator rand)`

Uses of RandomGenerator in org.apache.commons.math.stat.ranking

Constructors in org.apache.commons.math.stat.ranking with parameters of type RandomGenerator
`NaturalRanking(NaNStrategy nanStrategy, RandomGenerator randomGenerator)` Create a NaturalRanking with the given NaNStrategy, TiesStrategy.RANDOM and the given source of random data.
`NaturalRanking(RandomGenerator randomGenerator)` Create a NaturalRanking with TiesStrategy.RANDOM and the given RandomGenerator as the source of random data.

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