scalation.random.RandomVecD
case class RandomVecD (dim : Int , max : Double , min : Double , density : Double , runLength : Int , stream : Int ) extends VariateVec
The RandomVecD class generates a random vector of doubles. Ex: (3.0, 2.0, 0.0, 4.0, 1.0) has dim = 5 and max = 4.
Value parameters
density
sparsity basis = 1 - density
dim
the dimension/size of the vector (number of elements)
max
generate doubles in the range min to max
min
generate doubles in the range min to max
runLength
the maximum run length
stream
the random number stream
Attributes
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Supertypes
trait Serializable
trait Product
trait Equals
class Object
trait Matchable
class Any
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Members list
Determine the next random double vector for the particular distribution.
Determine the next random double vector for the particular distribution.
Attributes
Determine the next random integer vector for the particular distribution. It is only valid for discrete random variates.
Determine the next random integer vector for the particular distribution. It is only valid for discrete random variates.
Attributes
Compute the vector mean for the particular distribution.
Compute the vector mean for the particular distribution.
Attributes
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.
Value parameters
z
the mass point/vector whose probability is sought
Attributes
Determine whether the distribution is discrete or continuous.
Determine whether the distribution is discrete or continuous.
Attributes
Inherited from:
VariateVec
Attributes
Inherited from:
Product
Attributes
Inherited from:
Product