Colt 1.0.1

Uses of Class
edu.cornell.lassp.houle.RngPack.RandomElement

Packages that use RandomElement
cern.colt.matrix.doublealgo Double matrix algorithms such as print formatting, sorting, partitioning and statistics. 
cern.jet.random Large variety of probability distributions featuring high performance generation of random numbers, CDF's and PDF's. 
cern.jet.random.engine Engines generating strong uniformly distributed pseudo-random numbers; Needed by all JET probability distributions since they rely on uniform random numbers to generate random numbers from their own distribution. 
cern.jet.random.sampling Samples (picks) random subsets of data sequences. 
cern.jet.stat.quantile Scalable algorithms and data structures to compute approximate quantiles over very large data sequences. 
edu.cornell.lassp.houle.RngPack More strong uniform pseudo-random number generators. 
hep.aida.bin Multisets (bags) with efficient statistics operations defined upon; This package requires the Colt distribution. 
 

Uses of RandomElement in cern.colt.matrix.doublealgo
 

Methods in cern.colt.matrix.doublealgo with parameters of type RandomElement
static DoubleMatrix1D viewSample(DoubleMatrix1D matrix, double fraction, RandomElement randomGenerator)
          Constructs and returns a sampling view with a size of round(matrix.size() * fraction).
static DoubleMatrix2D viewSample(DoubleMatrix2D matrix, double rowFraction, double columnFraction, RandomElement randomGenerator)
          Constructs and returns a sampling view with round(matrix.rows() * rowFraction) rows and round(matrix.columns() * columnFraction) columns.
static DoubleMatrix3D viewSample(DoubleMatrix3D matrix, double sliceFraction, double rowFraction, double columnFraction, RandomElement randomGenerator)
          Constructs and returns a sampling view with round(matrix.slices() * sliceFraction) slices and round(matrix.rows() * rowFraction) rows and round(matrix.columns() * columnFraction) columns.
 

Uses of RandomElement in cern.jet.random
 

Methods in cern.jet.random that return RandomElement
static RandomElement makeDefaultGenerator()
          Constructs and returns a new uniform random number generation engine seeded with the current time.
 

Methods in cern.jet.random with parameters of type RandomElement
static double nextBurr1(double r, int nr, RandomElement randomGenerator)
          Returns a random number from the Burr II, VII, VIII, X Distributions.
static double nextBurr2(double r, double k, int nr, RandomElement randomGenerator)
          Returns a random number from the Burr III, IV, V, VI, IX, XII distributions.
static double nextCauchy(RandomElement randomGenerator)
          Returns a cauchy distributed random number from the standard Cauchy distribution C(0,1).
static double nextErlang(double variance, double mean, RandomElement randomGenerator)
          Returns an erlang distributed random number with the given variance and mean.
static int nextGeometric(double p, RandomElement randomGenerator)
          Returns a discrete geometric distributed random number; Definition.
static double nextLambda(double l3, double l4, RandomElement randomGenerator)
          Returns a lambda distributed random number with parameters l3 and l4.
static double nextLaplace(RandomElement randomGenerator)
          Returns a Laplace (Double Exponential) distributed random number from the standard Laplace distribution L(0,1).
static double nextLogistic(RandomElement randomGenerator)
          Returns a random number from the standard Logistic distribution Log(0,1).
static double nextPowLaw(double alpha, double cut, RandomElement randomGenerator)
          Returns a power-law distributed random number with the given exponent and lower cutoff.
static double nextTriangular(RandomElement randomGenerator)
          Returns a random number from the standard Triangular distribution in (-1,1).
static double nextWeibull(double alpha, double beta, RandomElement randomGenerator)
          Returns a weibull distributed random number.
static int nextZipfInt(double z, RandomElement randomGenerator)
          Returns a zipfian distributed random number with the given skew.
static void staticSetRandomEngine(RandomElement randomGenerator)
          Sets the uniform random number generation engine shared by all static methods.
 

Constructors in cern.jet.random with parameters of type RandomElement
NegativeBinomial(int n, double p, RandomElement randomGenerator)
          Constructs a Negative Binomial distribution.
EmpiricalWalker(double[] pdf, int interpolationType, RandomElement randomGenerator)
          Constructs an Empirical distribution.
Zeta(double ro, double pk, RandomElement randomGenerator)
          Constructs a Zeta distribution.
BreitWigner(double mean, double gamma, double cut, RandomElement randomGenerator)
          Constructs a BreitWigner distribution.
Empirical(double[] pdf, int interpolationType, RandomElement randomGenerator)
          Constructs an Empirical distribution.
StudentT(double freedom, RandomElement randomGenerator)
          Constructs a StudentT distribution.
Binomial(int n, double p, RandomElement randomGenerator)
          Constructs a binomial distribution.
Exponential(double lambda, RandomElement randomGenerator)
          Constructs a Negative Exponential distribution.
Logarithmic(double p, RandomElement randomGenerator)
          Constructs a Logarithmic distribution.
Hyperbolic(double alpha, double beta, RandomElement randomGenerator)
          Constructs a Beta distribution.
ChiSquare(double freedom, RandomElement randomGenerator)
          Constructs a ChiSquare distribution.
HyperGeometric(int N, int s, int n, RandomElement randomGenerator)
          Constructs a HyperGeometric distribution.
Gamma(double alpha, double lambda, RandomElement randomGenerator)
          Constructs a Gamma distribution.
VonMises(double freedom, RandomElement randomGenerator)
          Constructs a Von Mises distribution.
Normal(double mean, double standardDeviation, RandomElement randomGenerator)
          Constructs a normal (gauss) distribution.
Beta(double alpha, double beta, RandomElement randomGenerator)
          Constructs a Beta distribution.
ExponentialPower(double tau, RandomElement randomGenerator)
          Constructs an Exponential Power distribution.
PoissonSlow(double mean, RandomElement randomGenerator)
          Constructs a poisson distribution.
Poisson(double mean, RandomElement randomGenerator)
          Constructs a poisson distribution.
BreitWignerMeanSquare(double mean, double gamma, double cut, RandomElement randomGenerator)
          Constructs a mean-squared BreitWigner distribution.
Uniform(double min, double max, RandomElement randomGenerator)
          Constructs a uniform distribution with the given minimum and maximum.
Uniform(RandomElement randomGenerator)
          Constructs a uniform distribution with min=0.0 and max=1.0.
 

Uses of RandomElement in cern.jet.random.engine
 

Subclasses of RandomElement in cern.jet.random.engine
 class DRand
          Quick medium quality uniform pseudo-random number generator.
 class MersenneTwister
          MersenneTwister (MT19937) is one of the strongest uniform pseudo-random number generators known so far; at the same time it is quick.
 class MersenneTwister64
          Same as MersenneTwister except that method raw() returns 64 bit random numbers instead of 32 bit random numbers.
 class RandomEngine
          Abstract base class for uniform pseudo-random number generating engines.
 

Methods in cern.jet.random.engine that return RandomElement
static RandomElement makeDefault()
          Constructs and returns a new uniform random number engine seeded with the current time.
 

Uses of RandomElement in cern.jet.random.sampling
 

Methods in cern.jet.random.sampling that return RandomElement
 RandomElement getRandomGenerator()
          Returns the used random generator.
 

Methods in cern.jet.random.sampling with parameters of type RandomElement
static void sample(long n, long N, int count, long low, long[] values, int fromIndex, RandomElement randomGenerator)
          Efficiently computes a sorted random set of count elements from the interval [low,low+N-1].
 

Constructors in cern.jet.random.sampling with parameters of type RandomElement
WeightedRandomSampler(int weight, RandomElement randomGenerator)
          Chooses exactly one random element from successive blocks of weight input elements each.
RandomSamplingAssistant(long n, long N, RandomElement randomGenerator)
          Constructs a random sampler that samples n random elements from an input sequence of N elements.
RandomSampler(long n, long N, long low, RandomElement randomGenerator)
          Constructs a random sampler that computes and delivers sorted random sets in blocks.
 

Uses of RandomElement in cern.jet.stat.quantile
 

Methods in cern.jet.stat.quantile with parameters of type RandomElement
static DoubleQuantileFinder newDoubleQuantileFinder(boolean known_N, long N, double epsilon, double delta, int quantiles, RandomElement generator)
          Returns a quantile finder that minimizes the amount of memory needed under the user provided constraints.
 

Uses of RandomElement in edu.cornell.lassp.houle.RngPack
 

Subclasses of RandomElement in edu.cornell.lassp.houle.RngPack
 class RandomJava
          RandomJava is a class wrapper for the Math.random() generator that comes with Java.
 class RandomSeedable
          RandomSeedable is an abstract class that extends the RandomElement class to include the ability to automatically generate a valid long seed from the clock.
 class RandomShuffle
          RandomShuffle uses one random number generator to shuffle the numbers produced by another to obliterate sequential correlations.
 class Ranecu
          Ranecu is an advanced multiplicative linear congruential random number generator with a period of aproximately 1018.
 class Ranlux
          RANLUX is an advanced pseudo-random number generator based on the RCARRY algorithm proposed in 1991 by Marsaglia and Zaman.
 class Ranmar
          RANMAR is a lagged Fibonacci generator proposed by Marsaglia and Zaman and is a good research grade generator.
 

Constructors in edu.cornell.lassp.houle.RngPack with parameters of type RandomElement
RandomShuffle(RandomElement ga, RandomElement gb, int ds)
           
 

Uses of RandomElement in hep.aida.bin
 

Methods in hep.aida.bin with parameters of type RandomElement
 void sample(int n, boolean withReplacement, RandomElement randomGenerator, DoubleBuffer buffer)
          Uniformly samples (chooses) n random elements with or without replacement from the contained elements and adds them to the given buffer.
 DynamicBin1D sampleBootstrap(DynamicBin1D other, int resamples, RandomElement randomGenerator, BinBinFunction1D function)
          Generic bootstrap resampling.
 

Constructors in hep.aida.bin with parameters of type RandomElement
QuantileBin1D(boolean known_N, long N, double epsilon, double delta, int quantiles, RandomElement randomGenerator)
          Equivalent to new QuantileBin1D(known_N, N, epsilon, delta, quantiles, randomGenerator, false, false, 2).
QuantileBin1D(boolean known_N, long N, double epsilon, double delta, int quantiles, RandomElement randomGenerator, boolean hasSumOfLogarithms, boolean hasSumOfInversions, int maxOrderForSumOfPowers)
          Constructs and returns an empty bin that, under the given constraints, minimizes the amount of memory needed.
 


Colt 1.0.1

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