Class LargeMeanPoissonSampler.LargeMeanPoissonSamplerState

java.lang.Object
org.apache.commons.rng.sampling.distribution.LargeMeanPoissonSampler.LargeMeanPoissonSamplerState
Enclosing class:
LargeMeanPoissonSampler

static final class LargeMeanPoissonSampler.LargeMeanPoissonSamplerState extends Object
Encapsulate the state of the sampler. The state is valid for construction of a sampler in the range lambda <= mean < lambda+1.

This class is immutable.

See Also:
  • Field Summary

    Fields
    Modifier and Type
    Field
    Description
    private final double
    Algorithm constant c1.
    private final double
    Algorithm constant delta.
    private final double
    Algorithm constant halfDelta.
    private final double
    Algorithm constant lambda.
    private final double
    Algorithm constant logLambda.
    private final double
    Algorithm constant logLambdaFactorial.
    private final double
    Algorithm constant p1.
    private final double
    Algorithm constant p2.
    private final double
    Algorithm constant sqrtLambdaPlusHalfDelta.
    private final double
    Algorithm constant twolpd.
  • Constructor Summary

    Constructors
    Constructor
    Description
    LargeMeanPoissonSamplerState(double lambda, double logLambda, double logLambdaFactorial, double delta, double halfDelta, double sqrtLambdaPlusHalfDelta, double twolpd, double p1, double p2, double c1)
    Creates the state.
  • Method Summary

    Modifier and Type
    Method
    Description
    (package private) double
     
    (package private) double
     
    (package private) double
     
    (package private) int
    Get the lambda value for the state.
    (package private) double
     
    (package private) double
     
    (package private) double
     
    (package private) double
     
    (package private) double
     
    (package private) double
     
    (package private) double
     

    Methods inherited from class java.lang.Object

    clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
  • Field Details

    • lambda

      private final double lambda
      Algorithm constant lambda.
    • logLambda

      private final double logLambda
      Algorithm constant logLambda.
    • logLambdaFactorial

      private final double logLambdaFactorial
      Algorithm constant logLambdaFactorial.
    • delta

      private final double delta
      Algorithm constant delta.
    • halfDelta

      private final double halfDelta
      Algorithm constant halfDelta.
    • sqrtLambdaPlusHalfDelta

      private final double sqrtLambdaPlusHalfDelta
      Algorithm constant sqrtLambdaPlusHalfDelta.
    • twolpd

      private final double twolpd
      Algorithm constant twolpd.
    • p1

      private final double p1
      Algorithm constant p1.
    • p2

      private final double p2
      Algorithm constant p2.
    • c1

      private final double c1
      Algorithm constant c1.
  • Constructor Details

    • LargeMeanPoissonSamplerState

      LargeMeanPoissonSamplerState(double lambda, double logLambda, double logLambdaFactorial, double delta, double halfDelta, double sqrtLambdaPlusHalfDelta, double twolpd, double p1, double p2, double c1)
      Creates the state.

      The state is valid for construction of a sampler in the range lambda <= mean < lambda+1 where lambda is an integer.

      Parameters:
      lambda - the lambda
      logLambda - the log lambda
      logLambdaFactorial - the log lambda factorial
      delta - the delta
      halfDelta - the half delta
      sqrtLambdaPlusHalfDelta - the sqrt(lambda+half delta)
      twolpd - the two lambda plus delta
      p1 - the p1 constant
      p2 - the p2 constant
      c1 - the c1 constant
  • Method Details

    • getLambda

      int getLambda()
      Get the lambda value for the state.

      Equal to floor(mean) for a Poisson sampler.

      Returns:
      the lambda value
    • getLambdaRaw

      double getLambdaRaw()
      Returns:
      algorithm constant lambda
    • getLogLambda

      double getLogLambda()
      Returns:
      algorithm constant logLambda
    • getLogLambdaFactorial

      double getLogLambdaFactorial()
      Returns:
      algorithm constant logLambdaFactorial
    • getDelta

      double getDelta()
      Returns:
      algorithm constant delta
    • getHalfDelta

      double getHalfDelta()
      Returns:
      algorithm constant halfDelta
    • getSqrtLambdaPlusHalfDelta

      double getSqrtLambdaPlusHalfDelta()
      Returns:
      algorithm constant sqrtLambdaPlusHalfDelta
    • getTwolpd

      double getTwolpd()
      Returns:
      algorithm constant twolpd
    • getP1

      double getP1()
      Returns:
      algorithm constant p1
    • getP2

      double getP2()
      Returns:
      algorithm constant p2
    • getC1

      double getC1()
      Returns:
      algorithm constant c1