Packages

c

scalation.random

PermutedVecD

case class PermutedVecD(x: VectoD, stream: Int = 0) extends VariateVec with Product with Serializable

The PermutedVecD class generates random permutations of a vector of doubles.

x

the vector of doubles to permute

stream

the random number stream

See also

maths-people.anu.edu.au/~brent/pd/Arndt-thesis.pdf

Linear Supertypes
Serializable, Serializable, Product, Equals, VariateVec, Error, AnyRef, Any
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Inherited
  1. PermutedVecD
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. VariateVec
  7. Error
  8. AnyRef
  9. Any
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Visibility
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Instance Constructors

  1. new PermutedVecD(x: VectoD, stream: Int = 0)

    x

    the vector of doubles to permute

    stream

    the random number stream

Value Members

  1. def discrete: Boolean

    Determine whether the distribution is discrete or continuous.

    Determine whether the distribution is discrete or continuous.

    Definition Classes
    VariateVec
  2. 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
  3. def gen: VectoD

    Determine the next random double vector for the particular distribution.

    Determine the next random double vector for the particular distribution.

    Definition Classes
    PermutedVecD → VariateVec
  4. def igen: VectoI

    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
    PermutedVecD → VariateVec
  5. def mean: VectoD

    Compute the vector mean for the particular distribution.

    Compute the vector mean for the particular distribution.

    Definition Classes
    PermutedVecD → VariateVec
  6. def pf(z: VectoD): 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
    PermutedVecD → VariateVec
  7. val stream: Int
  8. val x: VectoD