DiscreteUniformDistribution.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

A Random object that specifies the uniform random number generator that is to be used to generate the samples.

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 statistical distribution represented by this distribution.

public static int Sample(
	Random random,
	int maxValue
)

Public Shared Function Sample ( 
	random As Random,
	maxValue As Integer
) As Integer

public:
static int Sample(
	Random^ random, 
	int maxValue
)

static member Sample : 
        random : Random * 
        maxValue : int -> int 

Parameters

random  Random

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

maxValue  Int32

The upper bound (one larger than the largest possible value) of the interval.

Return Value

The lower bound of the interval is zero. The upper bound is exclusive: only values strictly less than maxValue will be returned.

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.

public static int Sample(
	Random random,
	int minValue,
	int maxValue
)

Public Shared Function Sample ( 
	random As Random,
	minValue As Integer,
	maxValue As Integer
) As Integer

public:
static int Sample(
	Random^ random, 
	int minValue, 
	int maxValue
)

static member Sample : 
        random : Random * 
        minValue : int * 
        maxValue : int -> int 

Parameters

random  Random

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

minValue  Int32

The lower bound (smallest possible value) of the interval.

maxValue  Int32

The upper bound (one smaller than the largest possible value) of the interval.

Return Value

The upper bound is exclusive: only values strictly less than maxValue will be returned.

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