TriangularDistribution.Sample Method

public override double Sample(
	Random random
)

Public Overrides Function Sample ( 
	random As Random
) As Double

public:
virtual double Sample(
	Random^ random
) override

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

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 distribution represented by this Distribution.

public static double Sample(
	Random random,
	double mode
)

Public Shared Function Sample ( 
	random As Random,
	mode As Double
) As Double

public:
static double Sample(
	Random^ random, 
	double mode
)

static member Sample : 
        random : Random * 
        mode : float -> float 

Parameters

random  Random

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

mode  Double

The point of maximum likelihood.

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.

public static double Sample(
	Random random,
	double upperBound,
	double mode
)

Public Shared Function Sample ( 
	random As Random,
	upperBound As Double,
	mode As Double
) As Double

public:
static double Sample(
	Random^ random, 
	double upperBound, 
	double mode
)

static member Sample : 
        random : Random * 
        upperBound : float * 
        mode : float -> float 

Parameters

random  Random

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

upperBound  Double

The upper boundary of the interval.

mode  Double

The point of maximum likelihood.

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.

public static double Sample(
	Random random,
	double lowerBound,
	double upperBound,
	double mode
)

Public Shared Function Sample ( 
	random As Random,
	lowerBound As Double,
	upperBound As Double,
	mode As Double
) As Double

public:
static double Sample(
	Random^ random, 
	double lowerBound, 
	double upperBound, 
	double mode
)

static member Sample : 
        random : Random * 
        lowerBound : float * 
        upperBound : float * 
        mode : float -> float 

Parameters

random  Random

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

lowerBound  Double

The lower boundary of the interval.

upperBound  Double

The upper boundary of the interval.

mode  Double

The point of maximum likelihood.

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