Class LomaxDistr

java.lang.Object
org.apache.commons.math3.distribution.AbstractRealDistribution
org.apache.commons.math3.distribution.ParetoDistribution
org.cloudsimplus.distributions.ParetoDistr
org.cloudsimplus.distributions.LomaxDistr
All Implemented Interfaces:
Serializable, org.apache.commons.math3.distribution.RealDistribution, ContinuousDistribution, StatisticalDistribution
public class LomaxDistr extends ParetoDistr implements ContinuousDistribution
A Pseudo-Random Number Generator following the Lomax distribution.
Since:
CloudSim Toolkit 1.0
Author:
Marcos Dias de Assuncao, Manoel Campos da Silva Filho
See Also:

  • Field Summary

    Fields inherited from class org.apache.commons.math3.distribution.ParetoDistribution

    DEFAULT_INVERSE_ABSOLUTE_ACCURACY

    Fields inherited from class org.apache.commons.math3.distribution.AbstractRealDistribution

    random, randomData, SOLVER_DEFAULT_ABSOLUTE_ACCURACY

    Fields inherited from interface org.cloudsimplus.distributions.ContinuousDistribution

    NULL

  • Constructor Summary

    Constructors
    Constructor
    Description
    LomaxDistr(double shape, double location, double shift)
    Creates a Lomax Pseudo-Random Number Generator (PRNG) using the current time as seed.
    LomaxDistr(double shape, double location, double shift, long seed)
    Creates a Lomax Pseudo-Random Number Generator (PRNG).
    LomaxDistr(double shape, double location, double shift, long seed, org.apache.commons.math3.random.RandomGenerator rng)
    Creates a Lomax Pseudo-Random Number Generator (PRNG).

  • Method Summary

    Modifier and Type
    Method
    Description
    long
    getSeed()
     
    void
    reseedRandomGenerator(long seed)
     
    double
    sample()
    Generate a new pseudo random number.

    Methods inherited from class org.cloudsimplus.distributions.ParetoDistr

    isApplyAntitheticVariates, originalSample, setApplyAntitheticVariates

    Methods inherited from class org.apache.commons.math3.distribution.ParetoDistribution

    cumulativeProbability, cumulativeProbability, density, getNumericalMean, getNumericalVariance, getScale, getShape, getSolverAbsoluteAccuracy, getSupportLowerBound, getSupportUpperBound, isSupportConnected, isSupportLowerBoundInclusive, isSupportUpperBoundInclusive, logDensity

    Methods inherited from class org.apache.commons.math3.distribution.AbstractRealDistribution

    inverseCumulativeProbability, probability, probability, sample

    Methods inherited from class java.lang.Object

    clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

    Methods inherited from interface org.apache.commons.math3.distribution.RealDistribution

    cumulativeProbability, cumulativeProbability, density, getNumericalMean, getNumericalVariance, getSupportLowerBound, getSupportUpperBound, inverseCumulativeProbability, isSupportConnected, isSupportLowerBoundInclusive, isSupportUpperBoundInclusive, probability, sample

    Methods inherited from interface org.cloudsimplus.distributions.StatisticalDistribution

    isApplyAntitheticVariates, originalSample, setApplyAntitheticVariates

  • Constructor Details

    • LomaxDistr

      public LomaxDistr(double shape, double location, double shift)
      Creates a Lomax Pseudo-Random Number Generator (PRNG) using the current time as seed.
      Parameters:
      shape - the shape parameter of this distribution
      location - the location parameter of this distribution
      shift - the shift parameter of this distribution
      See Also:

    • LomaxDistr

      public LomaxDistr(double shape, double location, double shift, long seed)
      Creates a Lomax Pseudo-Random Number Generator (PRNG).
      Parameters:
      shape - the shape parameter of this distribution
      location - the location parameter of this distribution
      shift - the shift parameter of this distribution
      seed - the seed to initialize the generator
      See Also:

    • LomaxDistr

      public LomaxDistr(double shape, double location, double shift, long seed, org.apache.commons.math3.random.RandomGenerator rng)
      Creates a Lomax Pseudo-Random Number Generator (PRNG).
      Parameters:
      shape - the shape parameter of this distribution
      location - the location parameter of this distribution
      shift - the shift parameter of this distribution
      seed - the seed already used to initialize the Pseudo-Random Number Generator
      rng - the actual Pseudo-Random Number Generator that will be the base to generate random numbers following a continuous distribution.

  • Method Details

    • sample

      public double sample()
      Description copied from interface: StatisticalDistribution
      Generate a new pseudo random number. If the Antithetic Variates Technique is enabled, the returned value is manipulated to try reducing variance of generated random numbers. Check link above for details.
      Specified by:
      sample in interface ContinuousDistribution
      Specified by:
      sample in interface org.apache.commons.math3.distribution.RealDistribution
      Specified by:
      sample in interface StatisticalDistribution
      Overrides:
      sample in class org.apache.commons.math3.distribution.ParetoDistribution
      Returns:
      the next pseudo random number in the sequence, following the implemented distribution.

    • getSeed

      public long getSeed()
      Specified by:
      getSeed in interface StatisticalDistribution
      Overrides:
      getSeed in class ParetoDistr
      Returns:
      the seed used to initialize the generator

    • reseedRandomGenerator

      public void reseedRandomGenerator(long seed)
      Specified by:
      reseedRandomGenerator in interface org.apache.commons.math3.distribution.RealDistribution
      Overrides:
      reseedRandomGenerator in class ParetoDistr