Found in titles:
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Python: random [100%] (library)
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DMelt: Catalano.Math.Random.Random [70%] (Java API)
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Wiki: DMelt:Numeric/2.Random.Numbers
[50%] (in title)
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Wiki: DMelt:Numeric/3.Random.Matrices
[50%] (in title)
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DMelt: Catalano.Math.Random.IRandomNumberGenerator [50%] (Java API)
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DMelt: Catalano.Math.Random.MersenneTwister64 [50%] (Java API)
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DMelt: Catalano.Math.Random.Pcg32 [50%] (Java API)
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DMelt: Catalano.Math.Random.StandardRandom [50%] (Java API)
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DMelt: Catalano.Math.Random.UniversalGenerator [50%] (Java API)
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DMelt: Catalano.Math.Random.package-frame [50%] (Java API)
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DMelt: Catalano.Math.Random.package-summary [50%] (Java API)
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DMelt: cern.jet.random.AbstractContinousDistribution [50%] (Java API)
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DMelt: cern.jet.random.AbstractDiscreteDistribution [50%] (Java API)
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DMelt: cern.jet.random.AbstractDistribution [50%] (Java API)
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DMelt: cern.jet.random.Benchmark [50%] (Java API)
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DMelt: cern.jet.random.Beta [50%] (Java API)
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DMelt: cern.jet.random.Binomial [50%] (Java API)
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DMelt: cern.jet.random.BreitWigner [50%] (Java API)
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DMelt: cern.jet.random.BreitWignerMeanSquare [50%] (Java API)
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DMelt: cern.jet.random.ChiSquare [50%] (Java API)
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DMelt: cern.jet.random.Distributions [50%] (Java API)
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DMelt: cern.jet.random.Empirical [50%] (Java API)
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DMelt: cern.jet.random.EmpiricalWalker [50%] (Java API)
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DMelt: cern.jet.random.Exponential [50%] (Java API)
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DMelt: cern.jet.random.ExponentialPower [50%] (Java API)
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DMelt: cern.jet.random.Gamma [50%] (Java API)
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DMelt: cern.jet.random.HyperGeometric [50%] (Java API)
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DMelt: cern.jet.random.Hyperbolic [50%] (Java API)
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DMelt: cern.jet.random.Logarithmic [50%] (Java API)
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DMelt: cern.jet.random.NegativeBinomial [50%] (Java API)
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DMelt: cern.jet.random.Normal [50%] (Java API)
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DMelt: cern.jet.random.Poisson [50%] (Java API)
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DMelt: cern.jet.random.PoissonSlow [50%] (Java API)
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DMelt: cern.jet.random.StudentT [50%] (Java API)
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DMelt: cern.jet.random.Uniform [50%] (Java API)
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DMelt: cern.jet.random.VonMises [50%] (Java API)
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DMelt: cern.jet.random.Zeta [50%] (Java API)
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DMelt: cern.jet.random.package-frame [50%] (Java API)
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DMelt: cern.jet.random.package-summary [50%] (Java API)
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DMelt: edu.rit.util.Random [50%] (Java API)
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DMelt: jhplot.math.Random [50%] (Java API)
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DMelt: jsat.utils.random.CMWC4096 [50%] (Java API)
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DMelt: jsat.utils.random.RandomUtil [50%] (Java API)
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DMelt: jsat.utils.random.XOR128 [50%] (Java API)
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DMelt: jsat.utils.random.XOR96 [50%] (Java API)
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DMelt: jsat.utils.random.XORWOW [50%] (Java API)
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DMelt: jsat.utils.random.package-frame [50%] (Java API)
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DMelt: jsat.utils.random.package-summary [50%] (Java API)
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DMelt: mikera.util.Random [50%] (Java API)
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DMelt: org.statcato.random.BinomialSample [50%] (Java API)
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DMelt: org.statcato.random.IntegerSample [50%] (Java API)
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DMelt: org.statcato.random.NormalSample [50%] (Java API)
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DMelt: org.statcato.random.SampleFromVector [50%] (Java API)
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DMelt: org.statcato.random.UniformSample [50%] (Java API)
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DMelt: org.statcato.random.package-frame [50%] (Java API)
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DMelt: org.statcato.random.package-summary [50%] (Java API)
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DMelt: smile.math.Random [50%] (Java API)
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DMelt: smile.math.random.MersenneTwister [50%] (Java API)
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DMelt: smile.math.random.MersenneTwister64 [50%] (Java API)
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DMelt: smile.math.random.RandomNumberGenerator [50%] (Java API)
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DMelt: smile.math.random.UniversalGenerator [50%] (Java API)
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DMelt: smile.math.random.package-frame [50%] (Java API)
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DMelt: smile.math.random.package-summary [50%] (Java API)
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DMelt: weka.core.Debug.Random [50%] (Java API)
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JDK15: java.util.Random [50%] (java.base)
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DMelt: cern.jet.random.engine.Benchmark [43%] (Java API)
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DMelt: cern.jet.random.engine.DRand [43%] (Java API)
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DMelt: cern.jet.random.engine.MersenneTwister [43%] (Java API)
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DMelt: cern.jet.random.engine.MersenneTwister64 [43%] (Java API)
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DMelt: cern.jet.random.engine.RandomEngine [43%] (Java API)
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DMelt: cern.jet.random.engine.RandomGenerator [43%] (Java API)
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DMelt: cern.jet.random.engine.RandomSeedGenerator [43%] (Java API)
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DMelt: cern.jet.random.engine.RandomSeedTable [43%] (Java API)
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DMelt: cern.jet.random.engine.package-frame [43%] (Java API)
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DMelt: cern.jet.random.engine.package-summary [43%] (Java API)
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DMelt: cern.jet.random.sampling.RandomSampler [43%] (Java API)
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DMelt: cern.jet.random.sampling.RandomSamplingAssistant [43%] (Java API)
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DMelt: cern.jet.random.sampling.WeightedRandomSampler [43%] (Java API)
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DMelt: cern.jet.random.sampling.package-frame [43%] (Java API)
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DMelt: cern.jet.random.sampling.package-summary [43%] (Java API)
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DMelt: cern.jet.random.tdouble.AbstractContinousDoubleDistribution [43%] (Java API)
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DMelt: cern.jet.random.tdouble.AbstractDiscreteDistribution [43%] (Java API)
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DMelt: cern.jet.random.tdouble.AbstractDoubleDistribution [43%] (Java API)
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DMelt: cern.jet.random.tdouble.Beta [43%] (Java API)
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DMelt: cern.jet.random.tdouble.Binomial [43%] (Java API)
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DMelt: cern.jet.random.tdouble.BreitWigner [43%] (Java API)
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DMelt: cern.jet.random.tdouble.BreitWignerMeanSquare [43%] (Java API)
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DMelt: cern.jet.random.tdouble.ChiSquare [43%] (Java API)
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DMelt: cern.jet.random.tdouble.Distributions [43%] (Java API)
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DMelt: cern.jet.random.tdouble.DoubleUniform [43%] (Java API)
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DMelt: cern.jet.random.tdouble.Empirical [43%] (Java API)
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DMelt: cern.jet.random.tdouble.EmpiricalWalker [43%] (Java API)
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DMelt: cern.jet.random.tdouble.Exponential [43%] (Java API)
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DMelt: cern.jet.random.tdouble.ExponentialPower [43%] (Java API)
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DMelt: cern.jet.random.tdouble.Gamma [43%] (Java API)
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DMelt: cern.jet.random.tdouble.HyperGeometric [43%] (Java API)
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DMelt: cern.jet.random.tdouble.Hyperbolic [43%] (Java API)
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DMelt: cern.jet.random.tdouble.Logarithmic [43%] (Java API)
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DMelt: cern.jet.random.tdouble.NegativeBinomial [43%] (Java API)
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DMelt: cern.jet.random.tdouble.Normal [43%] (Java API)
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Jython Example: stat_random_sample.py [54%] Random distribution according to a analysic function
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Jython Example: stat_distributions.py [53%] Verious random distributions
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Wiki: DScience:Random numbers [50%] (in title)
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Jython Example: stat_random_convolute.py [43%] Convolution of 2 random distributionis (Gamma with Poisson)
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Jython Example: weka_random_tree.py [35%] Classification using random tree and Weka
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Jython Example: weka_random_forest.py [35%] Classification using random forest and Weka
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Jython Example: shapes_ellipse3.py [31%] Display a random ellipse using P1D data points
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Jython Example: random_norma1.py [31%] Normal multivariate distributions defined by a covariance
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Jython Example: fit_circle.py [25%] Fit 2D random circle. Object identification
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Jython Example: io_ms_excel2.py [25%] Creating a MS Excel table with random numbers
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Java Example: jaida_FitExample.java [25%] Fitting a histogram with random numbers using Jaida
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Jython Example: lalgebra_ujmp_random.py [25%] Making random matrix and viasualise it using UJMP package
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Jython Example: fit_gauss.py [25%] A fit of a H1D histogram with Gaussian random numbers
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Jython Example: matrix_ejml_radom_vis.py [25%] Random matrix and its visualisation
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