MatrixTRV

Value Members

1. final def !=(arg0: Any): Boolean

   

   Definition Classes

   AnyRef → Any

2. final def ##(): Int

   

   Definition Classes

   AnyRef → Any

3. def *(other: DenseMatrix[Double])(implicit ev: Field[DenseMatrix[Double]]): ContinuousRandomVariable[DenseMatrix[Double]]

   

   Return the random variable that results from multiplying a provided quantity in the Domain to the current random variable.

   Return the random variable that results from multiplying a provided quantity in the Domain to the current random variable.

   other

   The value to be multiplied to this random variable.

   ev

   An implicit parameter, which represents a Field defined over the set Domain.

   Definition Classes

   ContinuousRandomVariable

4. def *(other: ContinuousRandomVariable[DenseMatrix[Double]])(implicit ev: Field[DenseMatrix[Double]]): ContinuousRandomVariable[DenseMatrix[Double]]

   

   Return the random variable that results from multiplying a provided random variable to the current random variable.

   Return the random variable that results from multiplying a provided random variable to the current random variable.

   other

   The random variable to be multiplied to this.

   ev

   An implicit parameter, which represents a Field defined over the set Domain.

   Definition Classes

   ContinuousRandomVariable

5. def +(other: DenseMatrix[Double])(implicit ev: Field[DenseMatrix[Double]]): ContinuousRandomVariable[DenseMatrix[Double]]

   

   Return the random variable that results from adding a provided quantity in the Domain to the current random variable.

   Return the random variable that results from adding a provided quantity in the Domain to the current random variable.

   other

   The value to be added to this random variable.

   ev

   An implicit parameter, which represents a Field defined over the set Domain.

   Definition Classes

   ContinuousRandomVariable

6. def +(other: ContinuousRandomVariable[DenseMatrix[Double]])(implicit ev: Field[DenseMatrix[Double]]): ContinuousRandomVariable[DenseMatrix[Double]]

   

   Return the random variable that results from adding a provided random variable to the current random variable.

   Return the random variable that results from adding a provided random variable to the current random variable.

   other

   The random variable to be added to this.

   Definition Classes

   ContinuousRandomVariable

7. def -(other: DenseMatrix[Double])(implicit ev: Field[DenseMatrix[Double]]): ContinuousRandomVariable[DenseMatrix[Double]]

   

   Return the random variable that results from subtracting a provided quantity in the Domain from the current random variable.

   Return the random variable that results from subtracting a provided quantity in the Domain from the current random variable.

   other

   The value to be subtracted from this random variable.

   ev

   An implicit parameter, which represents a Field defined over the set Domain.

   Definition Classes

   ContinuousRandomVariable

8. def -(other: ContinuousRandomVariable[DenseMatrix[Double]])(implicit ev: Field[DenseMatrix[Double]]): ContinuousRandomVariable[DenseMatrix[Double]]

   

   Return the random variable that results from subtracting a provided random variable from the current random variable.

   Return the random variable that results from subtracting a provided random variable from the current random variable.

   other

   The random variable to be subtracted from this.

   ev

   An implicit parameter, which represents a Field defined over the set Domain.

   Definition Classes

   ContinuousRandomVariable

9. def :*[OtherDomain, OtherDistr <: ContinuousDistr[OtherDomain]](other: ContinuousRVWithDistr[OtherDomain, OtherDistr]): ContinuousRVWithDistr[(DenseMatrix[Double], OtherDomain), ContinuousDistr[(DenseMatrix[Double], OtherDomain)]]

   

   Definition Classes

   ContinuousRVWithDistr

10. def :*[Domain1, Dist1 <: Density[Domain1] with Rand[Domain1]](other: RandomVarWithDistr[Domain1, Dist1]): RandomVarWithDistr[(DenseMatrix[Double], Domain1), GenericDistribution[(DenseMatrix[Double], Domain1)]]

    

    Cartesian product with another random variables which has a defined probability distribution.

    Cartesian product with another random variables which has a defined probability distribution.

    Definition Classes

    RandomVarWithDistr

11. def :*[Domain1](other: RandomVariable[Domain1]): RandomVariable[(DenseMatrix[Double], Domain1)]

    

    Outputs the cartesian product between two random variables.

    Outputs the cartesian product between two random variables.

    Domain1

    The domain of the other random variable

    other

    The random variable which forms the second component of the cartesian product.

    Definition Classes

    RandomVariable

12. final def ==(arg0: Any): Boolean

    

    Definition Classes

    AnyRef → Any

13. def >[OtherDomain](transformation: DataPipe[DenseMatrix[Double], OtherDomain]): MeasurableFunction[DenseMatrix[Double], OtherDomain, RandomVariable[DenseMatrix[Double]]]

    

    Transform the current random variable on Domain to a morphed random variable on OtherDomain

    Transform the current random variable on Domain to a morphed random variable on OtherDomain

    Definition Classes

    RandomVariable

14. final def asInstanceOf[T0]: T0

    

    Definition Classes

    Any

15. def clone(): AnyRef

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

16. def draw: DenseMatrix[Double]

    

    Alias for sample.run()

    Alias for sample.run()

    Definition Classes

    RandomVariable

17. final def eq(arg0: AnyRef): Boolean

    

    Definition Classes

    AnyRef

18. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( classOf[java.lang.Throwable] )

19. final def getClass(): Class[_]

    

    Definition Classes

    AnyRef → Any

20. def iid(n: Int): IIDContinuousRVDistr[DenseMatrix[Double], MatrixT, MatrixTRV.this.type]

    

    Create an iid random variable from the current (this)

    Create an iid random variable from the current (this)

    n

    The number of iid samples of the base random variable.

    Definition Classes

    ContinuousRVWithDistr → RandomVarWithDistr → RandomVariable

21. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

22. val m: DenseMatrix[Double]

    

23. val mu: Double

    

24. final def ne(arg0: AnyRef): Boolean

    

    Definition Classes

    AnyRef

25. final def notify(): Unit

    

    Definition Classes

    AnyRef

26. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

27. val sample: DataPipe[Unit, DenseMatrix[Double]]

    

    Generate a sample from the random variable

    Generate a sample from the random variable

    Definition Classes

    ContinuousRVWithDistr → RandomVariable

28. final def synchronized[T0](arg0: ⇒ T0): T0

    

    Definition Classes

    AnyRef

29. val u: DenseMatrix[Double]

    

30. val underlyingDist: MatrixT

    

    The actual probability density function is represented as a breeze Density object.

    The actual probability density function is represented as a breeze Density object.

    Definition Classes

    MatrixTRV → ContinuousRVWithDistr → RandomVarWithDistr → HasDistribution

31. val v: DenseMatrix[Double]

    

32. final def wait(): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

33. final def wait(arg0: Long, arg1: Int): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

34. final def wait(arg0: Long): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )