Documentation API of the 'jhplot.math.num.random.UniformRandomVariable' Java class
UniformRandomVariable
jhplot.math.num.random

Class UniformRandomVariable

    • Constructor Detail

      • UniformRandomVariable

        public UniformRandomVariable()
        Default constructor. The lower bound is set to 0 and the upper bound is set to 1.
      • UniformRandomVariable

        public UniformRandomVariable(double a,                             double b)
        Create a random variable with the given lower bound and upper bound values.
        Parameters:
        a - the lower bound parameter.
        b - the upper bound parameter.
      • UniformRandomVariable

        public UniformRandomVariable(double a,                             double b,                             RNG rng)
        Create a random variable with the given parameters.
        Parameters:
        a - the lower bound parameter.
        b - the upper bound parameter.
        rng - the source generator.
    • Method Detail

      • nextRandomVariable

        public static double nextRandomVariable(double a,                                        double b,                                        RNG source)
        Access the next random variable using the given generator.
        Parameters:
        a - the lower bound parameter.
        b - the upper bound parameter.
        source - the source generator.
        Returns:
        the next random variable.
      • nextRandomVariable

        public double nextRandomVariable()
        Access the next random variable from this generator.
        Returns:
        the next random variable.

DMelt 1.2 © DataMelt by jWork.ORG

UniformRandomVariable
jhplot.math.num.random

Class UniformRandomVariable

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.