Package org.cloudbus.cloudsim.distributions

Class WeibullDistr

java.lang.Object
org.apache.commons.math3.distribution.AbstractRealDistribution
org.apache.commons.math3.distribution.WeibullDistribution
org.cloudbus.cloudsim.distributions.WeibullDistr
All Implemented Interfaces:
java.io.Serializable, org.apache.commons.math3.distribution.RealDistribution, ContinuousDistribution
public class WeibullDistr
extends org.apache.commons.math3.distribution.WeibullDistribution
implements ContinuousDistribution
A Pseudo-Random Number Generator following the Weibull distribution.
Since:
CloudSim Toolkit 1.0
Author:
Marcos Dias de Assuncao, Manoel Campos da Silva Filho
See Also:
Serialized Form

  • Field Summary

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

    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.cloudbus.cloudsim.distributions.ContinuousDistribution

    NULL

  • Constructor Summary

    Constructors 
    Constructor Description
    WeibullDistr​(double alpha, double beta)
    Creates a Weibull Pseudo-Random Number Generator (RNG) using a given seed.
    WeibullDistr​(double alpha, double beta, long seed)
    Creates a Weibull Pseudo-Random Number Generator (RNG).
    WeibullDistr​(double alpha, double beta, long seed, org.apache.commons.math3.random.RandomGenerator rng)
    Creates a Weibull Pseudo-Random Number Generator (RNG).

  • Method Summary

    Modifier and Type Method Description
    long getSeed()
    Gets the seed used to initialize the generator
    void reseedRandomGenerator​(long seed)  

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

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

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

    cumulativeProbability, probability, probability, sample, sample

    Methods inherited from class java.lang.Object

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

    Methods inherited from interface org.cloudbus.cloudsim.distributions.ContinuousDistribution

    sample

  • Constructor Details

    • WeibullDistr

      public WeibullDistr​(double alpha, double beta)
      Creates a Weibull Pseudo-Random Number Generator (RNG) using a given seed.

      Internally, it relies on the JDKRandomGenerator, a wrapper for the Random class that doesn't have high-quality randomness properties but is very fast.

      Parameters:
      alpha - the alpha distribution parameter
      beta - the beta distribution parameter
      See Also:
      WeibullDistr(double, double, long, RandomGenerator)

    • WeibullDistr

      public WeibullDistr​(double alpha, double beta, long seed)
      Creates a Weibull Pseudo-Random Number Generator (RNG).

      Internally, it relies on the JDKRandomGenerator, a wrapper for the Random class that doesn't have high-quality randomness properties but is very fast.

      Parameters:
      alpha - the alpha distribution parameter
      beta - the beta distribution parameter
      seed - the seed
      See Also:
      WeibullDistr(double, double, long, RandomGenerator)

    • WeibullDistr

      public WeibullDistr​(double alpha, double beta, long seed, org.apache.commons.math3.random.RandomGenerator rng)
      Creates a Weibull Pseudo-Random Number Generator (RNG).
      Parameters:
      alpha - the alpha distribution parameter
      beta - the beta distribution parameter
      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

    • reseedRandomGenerator

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

    • getSeed

      public long getSeed()
      Description copied from interface: ContinuousDistribution
      Gets the seed used to initialize the generator
      Specified by:
      getSeed in interface ContinuousDistribution
      Returns: