VariateMat

scalation.random.VariateMat
See theVariateMat companion object
abstract class VariateMat(stream: Int)

Value parameters

stream

the random number stream (0 until N_STREAMS)

Attributes

Companion
object
Graph
Supertypes
class Object
trait Matchable
class Any
Known subtypes
class NormalMat
class RandomMatD

Members list

Value members

Abstract methods

def gen: MatrixD

Determine the next random double matrix for the particular distribution.

Determine the next random double matrix for the particular distribution.

Attributes

def igen: MatrixD

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

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

Attributes

def mean: MatrixD

Compute the matrix mean for the particular distribution.

Compute the matrix mean for the particular distribution.

Attributes

def pf(z: MatrixD): Double

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

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

Value parameters

z

the mass point/matrix whose probability is sought

Attributes

Concrete methods

def discrete: Boolean

Determine whether the distribution is discrete or continuous.

Determine whether the distribution is discrete or continuous.

Attributes