All Implemented Interfaces:

java.io.Serializable , org.apache.commons.math3.distribution.RealDistribution
```
public final class DiracDeltaDistribution
 implements RealDistribution, Serializable
                    
```
Models a Real Distribution backed by a Dirac Delta Function. This is similar to a Logistic probability function with a shape whose value tends to zero.
In practice, samples from this function return the provided value as a constant. The variance is zero, there is no randomness involved, and most of the useful information of a real distribution are actually lost. However, this utility can transform tools meant to work with a probability function in such a way that they work with a constant value (e.g., random walks with a constant step).

Nested Class Summary

Nested Classes
Modifier and Type	Class	Description

Field Summary

Fields
Modifier and Type	Field	Description
`private final Double`	`value`

Constructor Summary

Constructors
Constructor	Description
`DiracDeltaDistribution(RandomGenerator randomGenerator, Double value)`	This constructor is meant for reflection compatibility only.
`DiracDeltaDistribution(Double value)`

Enum Constant Summary

Enum Constants
Enum Constant	Description

Method Summary

Modifier and Type	Method	Description
`final Double`	`getValue()`
`Double`	`probability(Double x)`
`Double`	`density(Double x)`
`Double`	`cumulativeProbability(Double x)`
`Double`	`cumulativeProbability(Double x0, Double x1)`
`Double`	`inverseCumulativeProbability(Double p)`
`Double`	`getNumericalMean()`
`Double`	`getNumericalVariance()`
`Double`	`getSupportLowerBound()`
`Double`	`getSupportUpperBound()`
`Boolean`	`isSupportLowerBoundInclusive()`
`Boolean`	`isSupportUpperBoundInclusive()`
`Boolean`	`isSupportConnected()`
`Unit`	`reseedRandomGenerator(Long seed)`
`Double`	`sample()`
`DoubleArray`	`sample(Integer sampleSize)`

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

Constructor Detail
- DiracDeltaDistribution
```
DiracDeltaDistribution(RandomGenerator randomGenerator, Double value)
```
  This constructor is meant for reflection compatibility only.
- DiracDeltaDistribution
```
DiracDeltaDistribution(Double value)
```

Method Detail

getValue
```
 final Double getValue()
```

probability
```
 Double probability(Double x)
```

density
```
 Double density(Double x)
```

cumulativeProbability

 Double cumulativeProbability(Double x)

cumulativeProbability

 Double cumulativeProbability(Double x0, Double x1)

inverseCumulativeProbability

 Double inverseCumulativeProbability(Double p)

getNumericalMean
```
 Double getNumericalMean()
```

getNumericalVariance
```
 Double getNumericalVariance()
```

getSupportLowerBound
```
 Double getSupportLowerBound()
```

getSupportUpperBound
```
 Double getSupportUpperBound()
```

isSupportLowerBoundInclusive
```
 Boolean isSupportLowerBoundInclusive()
```

isSupportUpperBoundInclusive
```
 Boolean isSupportUpperBoundInclusive()
```

isSupportConnected
```
 Boolean isSupportConnected()
```

reseedRandomGenerator
```
 Unit reseedRandomGenerator(Long seed)
```

sample
```
 Double sample()
```

sample

 DoubleArray sample(Integer sampleSize)

Class DiracDeltaDistribution

Nested Class Summary

Field Summary

Constructor Summary

Enum Constant Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

DiracDeltaDistribution

DiracDeltaDistribution

Method Detail

getValue

probability

density

cumulativeProbability

cumulativeProbability

inverseCumulativeProbability

getNumericalMean

getNumericalVariance

getSupportLowerBound

getSupportUpperBound

isSupportLowerBoundInclusive

isSupportUpperBoundInclusive

isSupportConnected

reseedRandomGenerator

sample

sample