scalation.random

Triangular

case class Triangular(a: Double, b: Double, c: Double, stream: Int) extends Variate with Product with Serializable

This class generates simple Triangular random variates with the mode in the middle. This continuous RV models cases where outcomes cluster around the mode.

a

the lower bound

b

the upper bound

c

the mode

stream

the random number stream

Linear Supertypes
Serializable, Serializable, Product, Equals, Variate, Error, AnyRef, Any
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  1. Triangular
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. Variate
  7. Error
  8. AnyRef
  9. Any
Visibility
  1. Public
  2. All

Instance Constructors

  1. new Triangular(a: Double = 0, b: Double = 5, c: Double = scala.Double.MaxValue, stream: Int = 0)

    a

    the lower bound

    b

    the upper bound

    c

    the mode

    stream

    the random number stream

Value Members

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

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

  4. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  6. var _discrete: Boolean

    Indicates whether the distribution is discrete or continuous (default)

    Indicates whether the distribution is discrete or continuous (default)

    Attributes
    protected
    Definition Classes
    Variate

  7. val a: Double

    the lower bound

  8. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  9. val b: Double

    the upper bound

  10. val c: Double

    the mode

  11. def canEqual(arg0: Any): Boolean

    Definition Classes
    Triangular → Equals

  12. def clone(): AnyRef

    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws()

  13. def discrete: Boolean

    Determine whether the distribution is discrete or continuous.

    Determine whether the distribution is discrete or continuous.

    Definition Classes
    Variate

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

    Definition Classes
    AnyRef

  15. def equals(arg0: Any): Boolean

    Definition Classes
    Triangular → Equals → AnyRef → Any

  16. def finalize(): Unit

    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws()

  17. def flaw(method: String, message: String): Unit

    Show the flaw by printing the error message.

    Show the flaw by printing the error message.

    method

    the method where the error occurred

    message

    the error message

    Definition Classes
    Error

  18. def gen: Double

    Determine the next random number for the particular distribution.

    Determine the next random number for the particular distribution.

    Definition Classes
    Triangular → Variate

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

    Definition Classes
    AnyRef → Any

  20. def hashCode(): Int

    Definition Classes
    Triangular → AnyRef → Any

  21. def igen: Int

    Determine the next random integer for the particular distribution.

    Determine the next random integer for the particular distribution. It is only valid for discrete random variates.

    Definition Classes
    Variate

  22. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  23. def mean: Double

    Compute the mean for the particular distribution.

    Compute the mean for the particular distribution.

    Definition Classes
    Triangular → Variate

  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. def pf(z: Double): Double

    Compute the probability function (pf): The probability density function (pdf) for continuous RV's or the probability mass function (pmf) for discrete RV's.

    Compute the probability function (pf): The probability density function (pdf) for continuous RV's or the probability mass function (pmf) for discrete RV's.

    z

    the mass point whose probability is sought

    Definition Classes
    Triangular → Variate

  28. def pmf(k: Int = 0): Array[Double]

    Return the entire probability mass function (pmf) for finite discrete RV's.

    Return the entire probability mass function (pmf) for finite discrete RV's.

    k

    number of objects of the first type

    Definition Classes
    Variate

  29. def productArity: Int

    Definition Classes
    Triangular → Product

  30. def productElement(arg0: Int): Any

    Definition Classes
    Triangular → Product

  31. def productIterator: Iterator[Any]

    Definition Classes
    Product

  32. def productPrefix: String

    Definition Classes
    Triangular → Product

  33. val r: Random

    Random number stream selected by the stream number

    Random number stream selected by the stream number

    Attributes
    protected
    Definition Classes
    Variate

  34. val stream: Int

    the random number stream

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

    Definition Classes
    AnyRef

  36. def toString(): String

    Definition Classes
    Triangular → AnyRef → Any

  37. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws()

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

    Definition Classes
    AnyRef
    Annotations
    @throws()

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

    Definition Classes
    AnyRef
    Annotations
    @throws()

Deprecated Value Members

  1. def productElements: Iterator[Any]

    Definition Classes
    Product
    Annotations
    @deprecated
    Deprecated

    (Since version 2.8.0) use productIterator instead

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from Variate

Inherited from Error

Inherited from AnyRef

Inherited from Any