Packages

c

scalation.random

RandomVecI

case class RandomVecI(dim: Int = 10, max: Int = 20, min: Int = 10, skip: Int = 1, unique: Boolean = true, stream: Int = 0) extends VariateVec with Product with Serializable

The RandomVecI class generates a random vector of integers. Ex: (3, 2, 0, 4, 1) has 'dim' = 5 and 'max' = 4.

dim

the dimension/size of the vector (number of elements)

max

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

min

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

skip

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

unique

whether the integers must be unique

stream

the random number stream

Linear Supertypes
Serializable, Serializable, Product, Equals, VariateVec, Error, AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. RandomVecI
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. VariateVec
  7. Error
  8. AnyRef
  9. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Instance Constructors

  1. new RandomVecI(dim: Int = 10, max: Int = 20, min: Int = 10, skip: Int = 1, unique: Boolean = true, stream: Int = 0)

    dim

    the dimension/size of the vector (number of elements)

    max

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

    min

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

    skip

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

    unique

    whether the integers must be unique

    stream

    the random number stream

Value Members

  1. val dim: Int
  2. def discrete: Boolean

    Determine whether the distribution is discrete or continuous.

    Determine whether the distribution is discrete or continuous.

    Definition Classes
    VariateVec
  3. final 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
  4. def gen: VectorD

    Determine the next random double vector for the particular distribution.

    Determine the next random double vector for the particular distribution.

    Definition Classes
    RandomVecIVariateVec
  5. def igen: VectorI

    Determine the next random integer vector for the particular distribution.

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

    Definition Classes
    RandomVecIVariateVec
  6. val max: Int
  7. def mean: VectorD

    Compute the vector mean for the particular distribution.

    Compute the vector mean for the particular distribution.

    Definition Classes
    RandomVecIVariateVec
  8. val min: Int
  9. def pf(z: VectorD): 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.

    z

    the mass point/vector whose probability is sought

    Definition Classes
    RandomVecIVariateVec
  10. val skip: Int
  11. val stream: Int
  12. val unique: Boolean