Documentation API of the 'cern.jet.random.Distributions' Java class

Class Distributions

  • public class Distributionsextends Object
    Contains methods for conveniently generating pseudo-random numbers from special distributions such as the Burr, Cauchy, Erlang, Geometric, Lambda, Laplace, Logistic, Weibull, etc.

    About this class:

    All distributions are obtained by using a uniform pseudo-random number generator. followed by a transformation to the desired distribution.

    Example usage:

     cern.jet.random.engine.RandomEngine generator; generator = new cern.jet.random.engine.MersenneTwister(new java.util.Date()); //generator = new edu.cornell.lassp.houle.RngPack.Ranecu(new java.util.Date()); //generator = new edu.cornell.lassp.houle.RngPack.Ranmar(new java.util.Date()); //generator = new edu.cornell.lassp.houle.RngPack.Ranlux(new java.util.Date()); //generator = AbstractDistribution.makeDefaultGenerator(); for (int i=1000000; --i >=0; ) {    int cauchy = Distributions.nextCauchy(generator);    ... } 
    See Also:
    MersenneTwister, Random, Math

Warning: You cannot see the full API documentation of this class since the access to the DatMelt documentation for third-party Java classes is denied. Guests can only view jhplot Java API. To view the complete description of this class and its methods, please request the full DataMelt membership.

If you are already a full member, please login to the DataMelt member area before visiting this documentation.