DiscreteDistribution.Sample Method

public virtual int Sample()

Public Overridable Function Sample As Integer

public:
virtual int Sample()

abstract Sample : unit -> int 
override Sample : unit -> int 

Return Value

This method uses the default random number generator specified by DefaultRandomNumberGenerator 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 Vector<int> Sample(
	int count
)

Public Function Sample ( 
	count As Integer
) As Vector(Of Integer)

public:
Vector<int>^ Sample(
	int count
)

member Sample : 
        count : int -> Vector<int> 

Parameters

count  Int32

The number of samples to return.

Return Value

This method uses the default random number generator specified by DefaultRandomNumberGenerator to generate random samples from the distribution. The return value contains a set of values that follow the statistical distribution represented by this distribution.

public virtual int Sample(
	Random random
)

Public Overridable Function Sample ( 
	random As Random
) As Integer

public:
virtual int Sample(
	Random^ random
)

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 Vector<int> Sample(
	int count,
	Random random
)

Public Function Sample ( 
	count As Integer,
	random As Random
) As Vector(Of Integer)

public:
Vector<int>^ Sample(
	int count, 
	Random^ random
)

member Sample : 
        count : int * 
        random : Random -> Vector<int> 

Parameters

count  Int32

The number of samples to return.

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 value contains a set of values that follow the statistical distribution represented by this distribution.

public void Sample(
	Random random,
	int[] samples
)

Public Sub Sample ( 
	random As Random,
	samples As Integer()
)

public:
void Sample(
	Random^ random, 
	array<int>^ samples
)

member Sample : 
        random : Random * 
        samples : int[] -> unit 

Parameters

random  Random

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

samples  Int32[]

A Int32 array.

This method fills the integer array samples with random samples from the distribution.

public virtual void Sample(
	Random random,
	int[] samples,
	int startIndex,
	int length
)

Public Overridable Sub Sample ( 
	random As Random,
	samples As Integer(),
	startIndex As Integer,
	length As Integer
)

public:
virtual void Sample(
	Random^ random, 
	array<int>^ samples, 
	int startIndex, 
	int length
)

abstract Sample : 
        random : Random * 
        samples : int[] * 
        startIndex : int * 
        length : int -> unit 
override Sample : 
        random : Random * 
        samples : int[] * 
        startIndex : int * 
        length : int -> unit 

Parameters

random  Random

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

samples  Int32[]

A Int32 array.

startIndex  Int32

The zero-based index at which to begin filling the samples array.

length  Int32

The number of samples to provide.

This method fills a block of length elements of samples, starting at index startIndex with random samples from the distribution.

Reference