java.lang.Object
- org.apache.commons.rng.sampling.distribution.LargeMeanPoissonSampler.LargeMeanPoissonSamplerState

Enclosing class:

LargeMeanPoissonSampler
```
static final class LargeMeanPoissonSampler.LargeMeanPoissonSamplerState
extends java.lang.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:

getLambda()

Field Summary

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

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`(package private) double`	`getC1()`
`(package private) double`	`getDelta()`
`(package private) double`	`getHalfDelta()`
`(package private) int`	`getLambda()`	Get the lambda value for the state.
`(package private) double`	`getLambdaRaw()`
`(package private) double`	`getLogLambda()`
`(package private) double`	`getLogLambdaFactorial()`
`(package private) double`	`getP1()`
`(package private) double`	`getP2()`
`(package private) double`	`getSqrtLambdaPlusHalfDelta()`
`(package private) double`	`getTwolpd()`

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Field Detail
  - 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 Detail
  - 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 Detail
  - 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

Class LargeMeanPoissonSampler.LargeMeanPoissonSamplerState

Field Summary

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Field Detail

lambda

logLambda

logLambdaFactorial

delta

halfDelta

sqrtLambdaPlusHalfDelta

twolpd

p1

p2

c1

Constructor Detail

LargeMeanPoissonSamplerState

Method Detail

getLambda

getLambdaRaw

getLogLambda

getLogLambdaFactorial

getDelta

getHalfDelta

getSqrtLambdaPlusHalfDelta

getTwolpd

getP1

getP2

getC1