Package org.hipparchus.random
Class AbstractWell
java.lang.Object
org.hipparchus.random.AbstractWell
- All Implemented Interfaces:
Serializable,RandomGenerator
- Direct Known Subclasses:
Well1024a,Well19937a,Well19937c,Well44497a,Well44497b,Well512a
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:
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Nested Class Summary
Nested ClassesModifier and TypeClassDescriptionprotected static final classInner 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
Fields -
Constructor Summary
ConstructorsModifierConstructorDescriptionprotectedAbstractWell(int k) Creates a new random number generator.protectedAbstractWell(int k, int seed) Creates a new random number generator using a single int seed.protectedAbstractWell(int k, int[] seed) Creates a new random number generator using an int array seed.protectedAbstractWell(int k, long seed) Creates a new random number generator using a single long seed. -
Method Summary
Modifier and TypeMethodDescriptionprotected voidClears the cache used by the default implementation ofRandomGenerator.nextGaussian().booleanReturns the next pseudorandom, uniformly distributedbooleanvalue from this random number generator's sequence.voidnextBytes(byte[] bytes) Generates random bytes and places them into a user-supplied byte array.voidnextBytes(byte[] bytes, int start, int len) Generates random bytes and places them into a user-supplied byte array.doubleReturns the next pseudorandom, uniformly distributeddoublevalue between0.0and1.0from this random number generator's sequence.floatReturns the next pseudorandom, uniformly distributedfloatvalue between0.0and1.0from this random number generator's sequence.doubleReturns the next pseudorandom, Gaussian ("normally") distributeddoublevalue with mean0.0and standard deviation1.0from this random number generator's sequence.abstract intnextInt()Returns the next pseudorandom, uniformly distributedintvalue from this random number generator's sequence.intnextInt(int n) Returns a pseudorandom, uniformly distributedintvalue between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.longnextLong()Returns the next pseudorandom, uniformly distributedlongvalue from this random number generator's sequence.longnextLong(long n) Returns a pseudorandom, uniformly distributedintvalue between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.voidsetSeed(int seed) Sets the seed of the underlying random number generator using anintseed.voidsetSeed(int[] seed) Reinitialize the generator as if just built with the given int array seed.voidsetSeed(long seed) Sets the seed of the underlying random number generator using alongseed.toString()
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Field Details
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index
protected int indexCurrent index in the bytes pool. -
v
protected final int[] vBytes pool.
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Constructor Details
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AbstractWell
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)
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AbstractWell
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)
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AbstractWell
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
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AbstractWell
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)
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Method Details
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setSeed
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:
setSeedin interfaceRandomGenerator- 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.
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nextInt
public abstract int nextInt()Returns the next pseudorandom, uniformly distributedintvalue from this random number generator's sequence.All 232 possible
intvalues should be produced with (approximately) equal probability.- Returns:
- the next pseudorandom, uniformly distributed
intvalue from this random number generator's sequence
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nextBoolean
public boolean nextBoolean()Returns the next pseudorandom, uniformly distributedbooleanvalue from this random number generator's sequence.- Returns:
- the next pseudorandom, uniformly distributed
booleanvalue from this random number generator's sequence
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nextDouble
public double nextDouble()Returns the next pseudorandom, uniformly distributeddoublevalue between0.0and1.0from this random number generator's sequence.- Returns:
- the next pseudorandom, uniformly distributed
doublevalue between0.0and1.0from this random number generator's sequence
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nextFloat
public float nextFloat()Returns the next pseudorandom, uniformly distributedfloatvalue between0.0and1.0from this random number generator's sequence.- Returns:
- the next pseudorandom, uniformly distributed
floatvalue between0.0and1.0from this random number generator's sequence
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nextLong
public long nextLong()Returns the next pseudorandom, uniformly distributedlongvalue from this random number generator's sequence. All 264 possiblelongvalues should be produced with (approximately) equal probability.- Returns:
- the next pseudorandom, uniformly distributed
longvalue from this random number generator's sequence
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nextBytes
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
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nextBytes
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 bytesstart- the starting index for inserting the generated bytes into the arraylen- the number of bytes to generate
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setSeed
public void setSeed(int seed) Sets the seed of the underlying random number generator using anintseed.Sequences of values generated starting with the same seeds should be identical.
- Specified by:
setSeedin interfaceRandomGenerator- Parameters:
seed- the seed value
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setSeed
public void setSeed(long seed) Sets the seed of the underlying random number generator using alongseed.Sequences of values generated starting with the same seeds should be identical.
- Specified by:
setSeedin interfaceRandomGenerator- Parameters:
seed- the seed value
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nextInt
Returns a pseudorandom, uniformly distributedintvalue between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.- Specified by:
nextIntin interfaceRandomGenerator- Parameters:
n- the bound on the random number to be returned. Must be positive.- Returns:
- a pseudorandom, uniformly distributed
intvalue between 0 (inclusive) and n (exclusive). - Throws:
IllegalArgumentException- if n is not positive.
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nextLong
public long nextLong(long n) Returns a pseudorandom, uniformly distributedintvalue between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.- Specified by:
nextLongin interfaceRandomGenerator- Parameters:
n- the bound on the random number to be returned. Must be positive.- Returns:
- a pseudorandom, uniformly distributed
intvalue between 0 (inclusive) and n (exclusive).
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nextGaussian
public double nextGaussian()Returns the next pseudorandom, Gaussian ("normally") distributeddoublevalue with mean0.0and standard deviation1.0from this random number generator's sequence.- Specified by:
nextGaussianin interfaceRandomGenerator- Returns:
- the next pseudorandom, Gaussian ("normally") distributed
doublevalue with mean0.0and standard deviation1.0from this random number generator's sequence
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clearCache
protected void clearCache()Clears the cache used by the default implementation ofRandomGenerator.nextGaussian(). -
toString
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