org.apache.commons.math3.random

## Interface RandomGenerator

- All Known Implementing Classes:
    AbstractRandomGenerator, AbstractWell, BitsStreamGenerator, ISAACRandom, JDKRandomGenerator, MersenneTwister, RandomAdaptor, SynchronizedRandomGenerator, Well1024a, Well19937a, Well19937c, Well44497a, Well44497b, Well512a

      public interface RandomGenerator

  Interface extracted from `java.util.Random`. This interface is implemented by `AbstractRandomGenerator`.
  Since:
    1.1

- - ### Method Summary

    Methods
    Modifier and Type | Method and Description
    --- | ---
    `boolean` | `nextBoolean()` Returns the next pseudorandom, uniformly distributed `boolean` value from this random number generator's sequence.
    `void` | `nextBytes(byte[] bytes)` Generates random bytes and places them into a user-supplied byte array.
    `double` | `nextDouble()` Returns the next pseudorandom, uniformly distributed `double` value between `0.0` and `1.0` from this random number generator's sequence.
    `float` | `nextFloat()` Returns the next pseudorandom, uniformly distributed `float` value between `0.0` and `1.0` from this random number generator's sequence.
    `double` | `nextGaussian()` Returns the next pseudorandom, Gaussian ("normally") distributed `double` value with mean `0.0` and standard deviation `1.0` from this random number generator's sequence.
    `int` | `nextInt()` Returns the next pseudorandom, uniformly distributed `int` value from this random number generator's sequence.
    `int` | `nextInt(int n)` Returns a pseudorandom, uniformly distributed `int` value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
    `long` | `nextLong()` Returns the next pseudorandom, uniformly distributed `long` value from this random number generator's sequence.
    `void` | `setSeed(int seed)` Sets the seed of the underlying random number generator using an `int` seed.
    `void` | `setSeed(int[] seed)` Sets the seed of the underlying random number generator using an `int` array seed.
    `void` | `setSeed(long seed)` Sets the seed of the underlying random number generator using a `long` seed.

- - ### Method Detail

    - #### setSeed

          void setSeed(int seed)

      Sets the seed of the underlying random number generator using an `int` seed.

      Sequences of values generated starting with the same seeds should be identical.

      Parameters:
        `seed` - the seed value

    - #### setSeed

          void setSeed(int[] seed)

      Sets the seed of the underlying random number generator using an `int` array seed.

      Sequences of values generated starting with the same seeds should be identical.

      Parameters:
        `seed` - the seed value

    - #### setSeed

          void setSeed(long seed)

      Sets the seed of the underlying random number generator using a `long` seed.

      Sequences of values generated starting with the same seeds should be identical.

      Parameters:
        `seed` - the seed value

    - #### nextBytes

          void nextBytes(byte[] bytes)

      Generates random bytes and places them into a user-supplied byte array. The number of random bytes produced is equal to the length of the byte array.
      Parameters:
        `bytes` - the non-null byte array in which to put the random bytes

    - #### nextInt

          int nextInt()

      Returns the next pseudorandom, uniformly distributed `int` value from this random number generator's sequence. All 232 possible `int` values should be produced with (approximately) equal probability.
      Returns:
        the next pseudorandom, uniformly distributed `int` value from this random number generator's sequence

    - #### nextInt

          int nextInt(int n)

      Returns a pseudorandom, uniformly distributed `int` value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
      Parameters:
        `n` - the bound on the random number to be returned. Must be positive.
      Returns:
        a pseudorandom, uniformly distributed `int` value between 0 (inclusive) and n (exclusive).
      Throws:
        `IllegalArgumentException` - if n is not positive.

    - #### nextLong

          long nextLong()

      Returns the next pseudorandom, uniformly distributed `long` value from this random number generator's sequence. All 264 possible `long` values should be produced with (approximately) equal probability.
      Returns:
        the next pseudorandom, uniformly distributed `long` value from this random number generator's sequence

    - #### nextBoolean

          boolean nextBoolean()

      Returns the next pseudorandom, uniformly distributed `boolean` value from this random number generator's sequence.
      Returns:
        the next pseudorandom, uniformly distributed `boolean` value from this random number generator's sequence

    - #### nextFloat

          float nextFloat()

      Returns the next pseudorandom, uniformly distributed `float` value between `0.0` and `1.0` from this random number generator's sequence.
      Returns:
        the next pseudorandom, uniformly distributed `float` value between `0.0` and `1.0` from this random number generator's sequence

    - #### nextDouble

          double nextDouble()

      Returns the next pseudorandom, uniformly distributed `double` value between `0.0` and `1.0` from this random number generator's sequence.
      Returns:
        the next pseudorandom, uniformly distributed `double` value between `0.0` and `1.0` from this random number generator's sequence

    - #### nextGaussian

          double nextGaussian()

      Returns the next pseudorandom, Gaussian ("normally") distributed `double` value with mean `0.0` and standard deviation `1.0` from this random number generator's sequence.
      Returns:
        the next pseudorandom, Gaussian ("normally") distributed `double` value with mean `0.0` and standard deviation `1.0` from this random number generator's sequence

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