Class AbstractWell

java.lang.Object
org.hipparchus.random.AbstractWell
All Implemented Interfaces:
Serializable, RandomGenerator
Direct Known Subclasses:
Well1024a, Well19937a, Well19937c, Well44497a, Well44497b, Well512a

public abstract class AbstractWell extends Object implements Serializable
This abstract class implements the WELL class of pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.

This generator is described in a paper by François Panneton, Pierre L'Ecuyer and Makoto Matsumoto Improved Long-Period Generators Based on Linear Recurrences Modulo 2 ACM Transactions on Mathematical Software, 32, 1 (2006). The errata for the paper are in wellrng-errata.txt.

See Also:
  • Nested Class Summary Link icon

    Nested Classes
    Modifier and Type
    Class
    Description
    protected static final class 
    Inner class used to store the indirection index table which is fixed for a given type of WELL class of pseudo-random number generator.
  • Field Summary Link icon

    Fields
    Modifier and Type
    Field
    Description
    protected int
    Current index in the bytes pool.
    protected final int[]
    Bytes pool.
  • Constructor Summary Link icon

    Constructors
    Modifier
    Constructor
    Description
    protected
    AbstractWell(int k)
    Creates a new random number generator.
    protected
    AbstractWell(int k, int seed)
    Creates a new random number generator using a single int seed.
    protected
    AbstractWell(int k, int[] seed)
    Creates a new random number generator using an int array seed.
    protected
    AbstractWell(int k, long seed)
    Creates a new random number generator using a single long seed.
  • Method Summary Link icon

    Modifier and Type
    Method
    Description
    protected void
    Clears the cache used by the default implementation of RandomGenerator.nextGaussian().
    boolean
    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.
    void
    nextBytes(byte[] bytes, int start, int len)
    Generates random bytes and places them into a user-supplied byte array.
    double
    Returns the next pseudorandom, uniformly distributed double value between 0.0 and 1.0 from this random number generator's sequence.
    float
    Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from this random number generator's sequence.
    double
    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.
    abstract int
    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
    Returns the next pseudorandom, uniformly distributed long value from this random number generator's sequence.
    long
    nextLong(long n)
    Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn 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)
    Reinitialize the generator as if just built with the given int array seed.
    void
    setSeed(long seed)
    Sets the seed of the underlying random number generator using a long seed.

    Methods inherited from class java.lang.Object Link icon

    clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
  • Field Details Link icon

    • index Link icon

      protected int index
      Current index in the bytes pool.
    • v Link icon

      protected final int[] v
      Bytes pool.
  • Constructor Details Link icon

    • AbstractWell Link icon

      protected AbstractWell(int k)
      Creates a new random number generator.

      The instance is initialized using the current time plus the system identity hash code of this instance as the seed.

      Parameters:
      k - number of bits in the pool (not necessarily a multiple of 32)
    • AbstractWell Link icon

      protected AbstractWell(int k, int seed)
      Creates a new random number generator using a single int seed.
      Parameters:
      k - number of bits in the pool (not necessarily a multiple of 32)
      seed - the initial seed (32 bits integer)
    • AbstractWell Link icon

      protected AbstractWell(int k, int[] seed)
      Creates a new random number generator using an int array seed.
      Parameters:
      k - number of bits in the pool (not necessarily a multiple of 32)
      seed - the initial seed (32 bits integers array), if null the seed of the generator will be related to the current time
    • AbstractWell Link icon

      protected AbstractWell(int k, long seed)
      Creates a new random number generator using a single long seed.
      Parameters:
      k - number of bits in the pool (not necessarily a multiple of 32)
      seed - the initial seed (64 bits integer)
  • Method Details Link icon

    • setSeed Link icon

      public void setSeed(int[] seed)
      Reinitialize the generator as if just built with the given int array seed.

      The state of the generator is exactly the same as a new generator built with the same seed.

      Specified by:
      setSeed in interface RandomGenerator
      Parameters:
      seed - the initial seed (32 bits integers array). If null the seed of the generator will be the system time plus the system identity hash code of the instance.
    • nextInt Link icon

      public abstract 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
    • nextBoolean Link icon

      public 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
    • nextDouble Link icon

      public 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
    • nextFloat Link icon

      public 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
    • nextLong Link icon

      public 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
    • nextBytes Link icon

      public 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
    • nextBytes Link icon

      public void nextBytes(byte[] bytes, int start, int len)
      Generates random bytes and places them into a user-supplied byte array.
      Parameters:
      bytes - the non-null byte array in which to put the random bytes
      start - the starting index for inserting the generated bytes into the array
      len - the number of bytes to generate
    • setSeed Link icon

      public 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.

      Specified by:
      setSeed in interface RandomGenerator
      Parameters:
      seed - the seed value
    • setSeed Link icon

      public 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.

      Specified by:
      setSeed in interface RandomGenerator
      Parameters:
      seed - the seed value
    • nextInt Link icon

      public int nextInt(int n) throws IllegalArgumentException
      Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
      Specified by:
      nextInt in interface RandomGenerator
      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 Link icon

      public long nextLong(long n)
      Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
      Specified by:
      nextLong in interface RandomGenerator
      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).
    • nextGaussian Link icon

      public 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.
      Specified by:
      nextGaussian in interface RandomGenerator
      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
    • clearCache Link icon

      protected void clearCache()
      Clears the cache used by the default implementation of RandomGenerator.nextGaussian().
    • toString Link icon

      public String toString()
      Overrides:
      toString in class Object