BernoulliDistribution.Sample Method

public override int Sample(
	Random random
)

Public Overrides Function Sample ( 
	random As Random
) As Integer

public:
virtual int Sample(
	Random^ random
) override

abstract Sample : 
        random : Random -> int 
override Sample : 
        random : Random -> int 

Parameters

random  Random

The Random derived random number generator used to generate the sample.

Return Value

This method uses the random number generator specified by random to generate a random sample from the distribution. The return values of successive calls to this method follow the distribution represented by this BernoulliDistribution.

The Bernoulli distribution has two possible outcomes: 0 ('success') or 1 ('failure').

public static int Sample(
	Random random,
	double probability
)

Public Shared Function Sample ( 
	random As Random,
	probability As Double
) As Integer

public:
static int Sample(
	Random^ random, 
	double probability
)

static member Sample : 
        random : Random * 
        probability : float -> int 

Parameters

random  Random

The Random derived random number generator used to generate the sample.

probability  Double

The probability of a trial resulting in success.

Return Value

This method is useful when only a single random sample is required, or if the parameters of the distribution change often. To obtain a large number of samples from a distribution with identical parameters, create an instance of the class and call the Sample() method repeatedly.

Reference