public abstract class AbstractDoubleDistribution extends PersistentObject implements DoubleFunction, IntFunction
Currently all subclasses use a uniform pseudo-random number generation engine and transform its results to the target distribution. Thus, they expect such a uniform engine upon instance construction.
DoubleMersenneTwister
is recommended
as uniform pseudo-random number generation engine, since it is very strong
and at the same time quick. makeDefaultGenerator()
will conveniently
construct and return such a magic thing. You can also, for example, use
DRand
, a quicker (but much weaker)
uniform random number generation engine. Of course, you can also use other
strong uniform random number generation engines.
Ressources on the Web:
Other useful ressources:
cern.jet.random.tdouble.engine
,
Serialized FormModifier and Type | Method and Description |
---|---|
double |
apply(double dummy)
Equivalent to nextDouble().
|
int |
apply(int dummy)
Equivalent to nextInt().
|
Object |
clone()
Returns a deep copy of the receiver; the copy will produce identical
sequences.
|
static DoubleRandomEngine |
makeDefaultGenerator()
Constructs and returns a new uniform random number generation engine
seeded with the current time.
|
abstract double |
nextDouble()
Returns a random number from the distribution.
|
int |
nextInt()
Returns a random number from the distribution; returns
(int) Math.round(nextDouble()).
|
public double apply(double dummy)
apply
in interface DoubleFunction
dummy
- argument passed to the function.public int apply(int dummy)
apply
in interface IntFunction
dummy
- argument passed to the function.public Object clone()
clone
in class PersistentObject
public static DoubleRandomEngine makeDefaultGenerator()
DoubleMersenneTwister
.public abstract double nextDouble()
public int nextInt()
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