Packages

c

scalation.random

RandomSet

case class RandomSet(count: Int = 10, max: Int = 20, skip: Int = -1, stream: Int = 0) extends VariateSet with Product with Serializable

The RandomSet class generates a random set/subset of integers.

count

the size of the set (number of integer elements)

max

generate integers in the range 0 (inclusive) to max (inclusive)

skip

skip this number, i.e, do not use it

stream

the random number stream

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

Instance Constructors

  1. new RandomSet(count: Int = 10, max: Int = 20, skip: Int = -1, stream: Int = 0)

    count

    the size of the set (number of integer elements)

    max

    generate integers in the range 0 (inclusive) to max (inclusive)

    skip

    skip this number, i.e, do not use it

    stream

    the random number stream

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. var _discrete: Boolean

    Indicates whether the distribution is discrete (default) or continuous

    Indicates whether the distribution is discrete (default) or continuous

    Attributes
    protected
    Definition Classes
    VariateSet
  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native() @HotSpotIntrinsicCandidate()
  7. val count: Int
  8. def discrete: Boolean

    Determine whether the distribution is discrete or continuous.

    Determine whether the distribution is discrete or continuous.

    Definition Classes
    VariateSet
  9. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  10. final def flaw(method: String, message: String): Unit
    Definition Classes
    Error
  11. def gen: Set[Double]

    Determine the next random double set for the particular distribution.

    Determine the next random double set for the particular distribution.

    Definition Classes
    RandomSetVariateSet
  12. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  13. def igen(s: Set[Int], n: Int): Set[Int]

    Generate a set of unique integers 'r' that is a random subset of set 's'.

    Generate a set of unique integers 'r' that is a random subset of set 's'.

    s

    the given set

    n

    the size of the resultant random subset r

  14. def igen(n: Int, mx: Int, skp: Int = -1): Set[Int]

    Generate a random set of unique integers 'r' in the range '0 to mx'.

    Generate a random set of unique integers 'r' in the range '0 to mx'.

    n

    the size of the resultant random subset r

    mx

    generate integers in the range 0 (inclusive) to 'mx' (inclusive)

    skp

    skip this number, i.e, do not use it

  15. def igen: Set[Int]

    Generate a random set of unique integers 'r' in the range '0 to max'.

    Generate a random set of unique integers 'r' in the range '0 to max'. The size of the set is given by 'count'.

    Definition Classes
    RandomSetVariateSet
  16. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  17. val max: Int
  18. def mean: Double

    Compute the mean for the particular distribution.

    Compute the mean for the particular distribution.

    Definition Classes
    RandomSetVariateSet
  19. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  20. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  21. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  22. def pf(s: Set[Int]): Double

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

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

    Definition Classes
    RandomSetVariateSet
  23. val r: Random

    Random number stream selected by the stream number

    Random number stream selected by the stream number

    Attributes
    protected
    Definition Classes
    VariateSet
  24. val skip: Int
  25. val stream: Int
  26. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  27. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  28. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  29. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Deprecated Value Members

  1. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] ) @Deprecated
    Deprecated

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from VariateSet

Inherited from Error

Inherited from AnyRef

Inherited from Any

Ungrouped