Packages

t

cardano.continuous

ContinuousDistributions

trait ContinuousDistributions extends Distributions

This trait implements some standard continuous distributions.

Self Type
ContinuousDistributions
Linear Supertypes
Distributions, AnyRef, Any
Known Subclasses
AllDistributions, Stochastic
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Inherited
  1. ContinuousDistributions
  2. Distributions
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Abstract Value Members

  1. abstract def randomGenerator: RandomGenerator
    Attributes
    protected
    Definition Classes
    Distributions

Concrete Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. def beta(a: Double, b: Double): Stochastic[Double]

    Creates a Beta random variable.

    Creates a Beta random variable.

    a

    positive parameter

    b

    negative parameter

    returns

    a Beta random variable

  6. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  7. def constant[A](a: A): Stochastic[A]

    Creates a random variable that is constant.

    Creates a random variable that is constant.

    A

    the concrete type of this random variable

    a

    the value of this constant random variable

    returns

    a constant random variable

    Definition Classes
    Distributions
  8. def continuousUniform(a: Double, b: Double): Stochastic[Double]

    Creates a uniform random variable on [a, b].

    Creates a uniform random variable on [a, b].

    a

    a first bound on the interval

    b

    a second bound on the interval

    returns

    a uniform random variable on [a, b]

  9. def continuousUniform: Stochastic[Double]

    Creates a uniform random variable on [0, 1].

    Creates a uniform random variable on [0, 1].

    returns

    a uniform random variable on [0, 1]

  10. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  11. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  12. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  13. def gaussian(mean: Double, std: Double): Stochastic[Double]

    Creates a normal random variable.

    Creates a normal random variable.

    mean

    the expectation

    std

    the standard deviation

    returns

    a normal random variable

  14. def gaussian: Stochastic[Double]

    Creates a standard normal random variable.

    Creates a standard normal random variable.

    returns

    a standard normal random variable

  15. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
  16. def hashCode(): Int
    Definition Classes
    AnyRef → Any
  17. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  18. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  19. final def notify(): Unit
    Definition Classes
    AnyRef
  20. final def notifyAll(): Unit
    Definition Classes
    AnyRef
  21. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  22. def toString(): String
    Definition Classes
    AnyRef → Any
  23. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  24. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  25. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Distributions

Inherited from AnyRef

Inherited from Any

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