Class RandomHelper
RandomRegistry
. Working with random numbers consists
of two parts: the actual random number generator and the distributions (e.g. Uniform)
take the numbers from the generator and return the appropriate values.The RandomHelper provides access to default distributions that are created from a default generator. Non-default distributions that use their own random generator or share the default one can also be created. All the create* and get* methods where a name does NOT have to be provided operate on the default generator and distributions. A default uniform distributions is created automatically and the nextInt* and nextDouble* methods will use this distribution.
RandomHelper creates a default random number generator using the current timestamp as the seed. If you do not explicitly set your own seed, the distributions created via the create* calls will use this default generator. However, when the seed is set or reset, all the distributions, both default and non-, are invalidated, and a new random number generator is created as is a new default uniform distribution.
All the distributions in RandomHelper are from the colt library. The return types of the get* and create* methods return these colt objects. See the colt library documentation at http://dsd.lbl.gov/~hoschek/colt/.
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Constructor Summary
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Method Summary
Modifier and TypeMethodDescriptionstatic cern.jet.random.Beta
createBeta
(double alpha, double beta) Creates the default beta distribution using the default random number generator.static cern.jet.random.Binomial
createBinomial
(int n, double p) Creates the default binomial distribution using the default random number generator.static cern.jet.random.BreitWigner
createBreitWigner
(double mean, double gamma, double cut) Creates the default Breit Wigner distribution using the default random number generator.static cern.jet.random.BreitWignerMeanSquare
createBreitWignerMeanSquare
(double mean, double gamma, double cut) Creates the default Breit Wigner mean square state distribution using the default random number generator.static cern.jet.random.ChiSquare
createChiSquare
(double freedom) Creates the default chi square distribution using the default random number generator.static cern.jet.random.Empirical
createEmpirical
(double[] pdf, int interpolationType) Creates the default empirical distribution using the default random number generator.static cern.jet.random.EmpiricalWalker
createEmpiricalWalker
(double[] pdf, int interpolationType) Creates the default empirical walker distribution using the default random number generator.static cern.jet.random.Exponential
createExponential
(double lambda) Creates the default exponential distribution using the default random number generator.static cern.jet.random.ExponentialPower
createExponentialPower
(double tau) Creates the default exponential power distribution using the default random number generator.static cern.jet.random.Gamma
createGamma
(double alpha, double lambda) Creates the default gamma distribution using the default random number generator.static cern.jet.random.Hyperbolic
createHyperbolic
(double alpha, double beta) Creates the default hyperbolic distribution using the default random number generator.static cern.jet.random.HyperGeometric
createHyperGeometric
(int N, int s, int n) Creates the default hyper geometric distribution using the default random number generator.static cern.jet.random.Logarithmic
createLogarithmic
(double p) Creates the default logarithmic distribution using the default random number generator.static cern.jet.random.NegativeBinomial
createNegativeBinomial
(int n, double p) Creates the default negative binomial distribution using the default random number generator.static cern.jet.random.Normal
createNormal
(double mean, double standardDeviation) Creates the default normal distribution using the default random number generator.static cern.jet.random.Poisson
createPoisson
(double mean) Creates the default Poisson distribution using the default random number generator.static cern.jet.random.PoissonSlow
createPoissonSlow
(double mean) Creates the default slower Poisson distribution using the default random number generator.static cern.jet.random.StudentT
createStudentT
(double freedom) Creates the default StudentT distribution using the default random number generator.static cern.jet.random.Uniform
Creates the default Unifrom distribution using the default random number generator.static cern.jet.random.Uniform
createUniform
(double min, double max) Creates the default uniform distribution using the default random number generator.static cern.jet.random.VonMises
createVonMises
(double freedom) Creates a default VonMises distribution using the default random number generator.static cern.jet.random.Zeta
createZeta
(double ro, double pk) static cern.jet.random.Beta
getBeta()
Gets the default beta distribution.static cern.jet.random.Binomial
Gets the default binomial distribution.static cern.jet.random.BreitWigner
Gets the default BreitWigner distribution.static cern.jet.random.BreitWignerMeanSquare
Gets the default BreitWignerMeanSquare distribution.static cern.jet.random.ChiSquare
Gets the default Zeta distribution.static RandomRegistry
Gets the default random registry.static cern.jet.random.AbstractDistribution
getDistribution
(String name) Gets the named previously registered distribution.static cern.jet.random.Empirical
Gets the default ChiSquare distribution.static cern.jet.random.EmpiricalWalker
Gets the default EmpiricalWalker distribution.static cern.jet.random.Exponential
Gets the default Exponential distribution.static cern.jet.random.ExponentialPower
Gets the default exponentialPower distribution.static cern.jet.random.Gamma
getGamma()
Gets the default gamma distribution.static cern.jet.random.engine.RandomEngine
Gets the random number generator used by the default distributions.static cern.jet.random.engine.RandomEngine
getGenerator
(String generatorName) Gets a previously registered random number generator.static cern.jet.random.Hyperbolic
Gets the default hyperbolic distribution.static cern.jet.random.HyperGeometric
Gets the default hyperGeometric distribution.static cern.jet.random.Logarithmic
Gets the default logarithmic distribution.static cern.jet.random.NegativeBinomial
Gets the default negativeBinomial distribution.static cern.jet.random.Normal
Gets the default normal distribution.static cern.jet.random.Poisson
Gets the default poisson distribution.static cern.jet.random.PoissonSlow
Gets the default slow poisson distribution.static int
getSeed()
Gets the seed used by the default random number generator.static int
Gets the seed of the named generator.static cern.jet.random.StudentT
Gets the default studentT distribution.static cern.jet.random.Uniform
Gets the default uniform distribution.static cern.jet.random.VonMises
Gets the default vonMises distribution.static cern.jet.random.Zeta
getZeta()
Gets the default Zeta distribution.static void
init()
Initializes the random helper.static double
This retrieves the next double from the default uniform stream.static double
nextDoubleFromTo
(double from, double to) This retrieves the next double in the specified range from the default uniform stream.static int
nextInt()
This retrieves the next integer from the default uniform stream.static int
nextIntFromTo
(int from, int to) This retrieves the next integer in the specified range from the default uniform stream.static void
registerDistribution
(String name, cern.jet.random.AbstractDistribution dist) Registers the named random number distribution for later retrieval.static cern.jet.random.engine.RandomEngine
registerGenerator
(String name, int seed) Creates and registers a new random number generator with the specified name and seed.static void
setSeed
(int seed) This sets the seed for the default stream.
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Constructor Details
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RandomHelper
public RandomHelper()
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Method Details
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createBeta
public static cern.jet.random.Beta createBeta(double alpha, double beta) Creates the default beta distribution using the default random number generator.- Parameters:
alpha
-beta
-- Returns:
- the created distribution
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createBinomial
public static cern.jet.random.Binomial createBinomial(int n, double p) Creates the default binomial distribution using the default random number generator.- Parameters:
n
-p
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createBreitWigner
public static cern.jet.random.BreitWigner createBreitWigner(double mean, double gamma, double cut) Creates the default Breit Wigner distribution using the default random number generator.- Parameters:
mean
-gamma
-cut
-- Returns:
- the created distribution
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createBreitWignerMeanSquare
public static cern.jet.random.BreitWignerMeanSquare createBreitWignerMeanSquare(double mean, double gamma, double cut) Creates the default Breit Wigner mean square state distribution using the default random number generator.- Parameters:
mean
-gamma
-cut
-- Returns:
- the created distribution
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createChiSquare
public static cern.jet.random.ChiSquare createChiSquare(double freedom) Creates the default chi square distribution using the default random number generator.- Parameters:
freedom
-- Returns:
- the created distribution
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createEmpirical
public static cern.jet.random.Empirical createEmpirical(double[] pdf, int interpolationType) Creates the default empirical distribution using the default random number generator.- Parameters:
pdf
-interpolationType
-- Returns:
- the created distribution
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createEmpiricalWalker
public static cern.jet.random.EmpiricalWalker createEmpiricalWalker(double[] pdf, int interpolationType) Creates the default empirical walker distribution using the default random number generator.- Parameters:
pdf
-interpolationType
-- Returns:
- the created distribution
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createExponential
public static cern.jet.random.Exponential createExponential(double lambda) Creates the default exponential distribution using the default random number generator.- Parameters:
lambda
-- Returns:
- the created distribution
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createExponentialPower
public static cern.jet.random.ExponentialPower createExponentialPower(double tau) Creates the default exponential power distribution using the default random number generator.- Parameters:
tau
-- Returns:
- the created distribution
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createGamma
public static cern.jet.random.Gamma createGamma(double alpha, double lambda) Creates the default gamma distribution using the default random number generator.- Parameters:
alpha
-lambda
-- Returns:
- the created distribution
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createHyperbolic
public static cern.jet.random.Hyperbolic createHyperbolic(double alpha, double beta) Creates the default hyperbolic distribution using the default random number generator.- Parameters:
alpha
-beta
-- Returns:
- the created distribution
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createHyperGeometric
public static cern.jet.random.HyperGeometric createHyperGeometric(int N, int s, int n) Creates the default hyper geometric distribution using the default random number generator.- Parameters:
N
-s
-n
-- Returns:
- the created distribution
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createLogarithmic
public static cern.jet.random.Logarithmic createLogarithmic(double p) Creates the default logarithmic distribution using the default random number generator.- Parameters:
p
-- Returns:
- the created distribution
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createNegativeBinomial
public static cern.jet.random.NegativeBinomial createNegativeBinomial(int n, double p) Creates the default negative binomial distribution using the default random number generator.- Parameters:
n
-p
-- Returns:
- the created distribution
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createNormal
public static cern.jet.random.Normal createNormal(double mean, double standardDeviation) Creates the default normal distribution using the default random number generator.- Parameters:
mean
-standardDeviation
-- Returns:
- the created distribution
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createPoisson
public static cern.jet.random.Poisson createPoisson(double mean) Creates the default Poisson distribution using the default random number generator.- Parameters:
mean
-- Returns:
- the created distribution
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createPoissonSlow
public static cern.jet.random.PoissonSlow createPoissonSlow(double mean) Creates the default slower Poisson distribution using the default random number generator.- Parameters:
mean
-- Returns:
- the created distribution
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createStudentT
public static cern.jet.random.StudentT createStudentT(double freedom) Creates the default StudentT distribution using the default random number generator.- Parameters:
freedom
-- Returns:
- the created distribution
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createUniform
public static cern.jet.random.Uniform createUniform()Creates the default Unifrom distribution using the default random number generator.- Returns:
- the created distribution
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createUniform
public static cern.jet.random.Uniform createUniform(double min, double max) Creates the default uniform distribution using the default random number generator.- Parameters:
min
-max
-- Returns:
- the created distribution
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createVonMises
public static cern.jet.random.VonMises createVonMises(double freedom) Creates a default VonMises distribution using the default random number generator.- Parameters:
freedom
-- Returns:
- the created distribution
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createZeta
public static cern.jet.random.Zeta createZeta(double ro, double pk) -
getBeta
public static cern.jet.random.Beta getBeta()Gets the default beta distribution.- Returns:
- the default beta distribution.
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getBinomial
public static cern.jet.random.Binomial getBinomial()Gets the default binomial distribution.- Returns:
- the default binomial distribution.
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getBreitWigner
public static cern.jet.random.BreitWigner getBreitWigner()Gets the default BreitWigner distribution.- Returns:
- the default BreitWigner distribution.
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getBreitWignerMeanSquare
public static cern.jet.random.BreitWignerMeanSquare getBreitWignerMeanSquare()Gets the default BreitWignerMeanSquare distribution.- Returns:
- the default BreitWignerMeanSquare distribution.
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getChiSquare
public static cern.jet.random.ChiSquare getChiSquare()Gets the default Zeta distribution.- Returns:
- the default Zeta distribution.
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getEmpirical
public static cern.jet.random.Empirical getEmpirical()Gets the default ChiSquare distribution.- Returns:
- the default ChiSquare distribution.
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getEmpiricalWalker
public static cern.jet.random.EmpiricalWalker getEmpiricalWalker()Gets the default EmpiricalWalker distribution.- Returns:
- the default EmpiricalWalker distribution.
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getExponential
public static cern.jet.random.Exponential getExponential()Gets the default Exponential distribution.- Returns:
- the default Exponential distribution.
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getExponentialPower
public static cern.jet.random.ExponentialPower getExponentialPower()Gets the default exponentialPower distribution.- Returns:
- the default exponentialPower distribution.
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getGamma
public static cern.jet.random.Gamma getGamma()Gets the default gamma distribution.- Returns:
- the default gamma distribution.
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getHyperbolic
public static cern.jet.random.Hyperbolic getHyperbolic()Gets the default hyperbolic distribution.- Returns:
- the default hyperbolic distribution.
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getHyperGeometric
public static cern.jet.random.HyperGeometric getHyperGeometric()Gets the default hyperGeometric distribution.- Returns:
- the default hyperGeometric distribution.
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getLogarithmic
public static cern.jet.random.Logarithmic getLogarithmic()Gets the default logarithmic distribution.- Returns:
- the default logarithmic distribution.
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getNegativeBinomial
public static cern.jet.random.NegativeBinomial getNegativeBinomial()Gets the default negativeBinomial distribution.- Returns:
- the default negativeBinomial distribution.
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getNormal
public static cern.jet.random.Normal getNormal()Gets the default normal distribution.- Returns:
- the default normal distribution.
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getPoisson
public static cern.jet.random.Poisson getPoisson()Gets the default poisson distribution.- Returns:
- the default poisson distribution.
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getPoissonSlow
public static cern.jet.random.PoissonSlow getPoissonSlow()Gets the default slow poisson distribution.- Returns:
- the default slow poisson distribution.
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getStudentT
public static cern.jet.random.StudentT getStudentT()Gets the default studentT distribution.- Returns:
- the default studentT distribution.
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getUniform
public static cern.jet.random.Uniform getUniform()Gets the default uniform distribution.- Returns:
- the default uniform distribution.
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getVonMises
public static cern.jet.random.VonMises getVonMises()Gets the default vonMises distribution.- Returns:
- the default vonMises distribution.
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getZeta
public static cern.jet.random.Zeta getZeta()Gets the default Zeta distribution.- Returns:
- the default Zeta distribution.
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setSeed
public static void setSeed(int seed) This sets the seed for the default stream. This is the same asDEFAULT_REGISTRY.setSeed(RandomHelper.DEFAULT_STREAM, seed);
The default stream will be created if it has not yet been.- Parameters:
seed
- the seed
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nextDoubleFromTo
public static double nextDoubleFromTo(double from, double to) This retrieves the next double in the specified range from the default uniform stream.- Parameters:
from
- the start of the range (exclusive)to
- the end of the range (exclusive)- Returns:
- the next double from the default uniform stream
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nextDouble
public static double nextDouble()This retrieves the next double from the default uniform stream. T- Returns:
- the next double from the default uniform stream
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nextIntFromTo
public static int nextIntFromTo(int from, int to) This retrieves the next integer in the specified range from the default uniform stream.- Parameters:
from
- the start of the range (inclusive)to
- the end of the range (inclusive)- Returns:
- the next int from the default uniform stream
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nextInt
public static int nextInt()This retrieves the next integer from the default uniform stream.- Returns:
- the next int from the default uniform stream
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init
public static void init()Initializes the random helper. This will invalidate any previously created distributions, both default and custom) and set the current seed for default generator to the current system time. This will also recreate the default uniform distribution. -
getDefaultRegistry
Gets the default random registry.- Returns:
- the default random registry
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getGenerator
public static cern.jet.random.engine.RandomEngine getGenerator()Gets the random number generator used by the default distributions.- Returns:
- the random number generator used by the default distributions.
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getSeed
public static int getSeed()Gets the seed used by the default random number generator.- Returns:
- the seed used by the default random number generator.
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registerGenerator
Creates and registers a new random number generator with the specified name and seed. The generator can then be retrieved later using #getGenerator(String).- Parameters:
name
- the name of the generator to create and registerseed
- the new generators seed- Returns:
- the new generator itself
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getGenerator
Gets a previously registered random number generator.- Parameters:
generatorName
- the name of the generator to get- Returns:
- a previously registered random number generator.
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getSeed
Gets the seed of the named generator.- Parameters:
generatorName
- the name of the generator- Returns:
- the seed of the named generator.
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registerDistribution
Registers the named random number distribution for later retrieval.- Parameters:
name
- the name of the distributiondist
- the distribution to register
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getDistribution
Gets the named previously registered distribution. Calling code can then cast the distribution into the appropriate type (e.g. a Normal).- Parameters:
name
- the name of the distribution to get- Returns:
- the named previously registered distribution.
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