MultivariateContinuousDistribution.FillSamples Method

protected virtual void FillSamples<TGenerator>(
	ref TGenerator generator,
	Matrix<double> samples
)
where TGenerator : struct, new(), IRandomGenerator

Protected Overridable Sub FillSamples(Of TGenerator As {Structure, New, IRandomGenerator}) ( 
	ByRef generator As TGenerator,
	samples As Matrix(Of Double)
)

protected:
generic<typename TGenerator>
where TGenerator : value class, gcnew(), IRandomGenerator
virtual void FillSamples(
	TGenerator% generator, 
	Matrix<double>^ samples
)

abstract FillSamples : 
        generator : 'TGenerator byref * 
        samples : Matrix<float> -> unit  when 'TGenerator : struct, new() and IRandomGenerator
override FillSamples : 
        generator : 'TGenerator byref * 
        samples : Matrix<float> -> unit  when 'TGenerator : struct, new() and IRandomGenerator

Parameters

generator  TGenerator

The random number generator used to generate the samples.

samples  Matrix<Double>

A matrix.

Type Parameters

TGenerator

The underlying generator type of the random source, used to enable optimizations like inlining.

This method fills the rows of the matrix specified by samples, with random samples from the distribution.

public void FillSamples(
	IRandomSource random,
	Matrix<double> samples
)

Public Sub FillSamples ( 
	random As IRandomSource,
	samples As Matrix(Of Double)
)

public:
void FillSamples(
	IRandomSource^ random, 
	Matrix<double>^ samples
)

member FillSamples : 
        random : IRandomSource * 
        samples : Matrix<float> -> unit 

Parameters

random  IRandomSource

The random number generator to use.

samples  Matrix<Double>

A matrix with one column per distribution dimension.

This method fills the rows of the matrix specified by samples, with random samples from the distribution.

A nonempty destination must be writable. Writability is checked before drawing samples, and protected copy-on-write snapshots are preserved. A matrix with zero rows consumes no randomness and may be read-only.

public void FillSamples<TGenerator>(
	IRandomSource<TGenerator> random,
	Matrix<double> samples
)
where TGenerator : struct, new(), IRandomGenerator

Public Sub FillSamples(Of TGenerator As {Structure, New, IRandomGenerator}) ( 
	random As IRandomSource(Of TGenerator),
	samples As Matrix(Of Double)
)

public:
generic<typename TGenerator>
where TGenerator : value class, gcnew(), IRandomGenerator
void FillSamples(
	IRandomSource<TGenerator>^ random, 
	Matrix<double>^ samples
)

member FillSamples : 
        random : IRandomSource<'TGenerator> * 
        samples : Matrix<float> -> unit  when 'TGenerator : struct, new() and IRandomGenerator

Parameters

random  IRandomSource<TGenerator>

The random number generator to use.

samples  Matrix<Double>

A matrix with one column per distribution dimension.

Type Parameters

TGenerator

The underlying generator type of the random source, used to enable optimizations like inlining.

This method fills the rows of the matrix specified by samples, with random samples from the distribution.

A nonempty destination must be writable. Writability is checked before drawing samples, and protected copy-on-write snapshots are preserved. A matrix with zero rows consumes no randomness and may be read-only.

public void FillSamples(
	Random random,
	Matrix<double> samples
)

Public Sub FillSamples ( 
	random As Random,
	samples As Matrix(Of Double)
)

public:
void FillSamples(
	Random^ random, 
	Matrix<double>^ samples
)

member FillSamples : 
        random : Random * 
        samples : Matrix<float> -> unit 

Parameters

random  Random

The random number generator to use.

samples  Matrix<Double>

A matrix with one column per distribution dimension.

This method fills the rows of the matrix specified by samples, with random samples from the distribution.

A nonempty destination must be writable. Writability is checked before drawing samples, and protected copy-on-write snapshots are preserved. A matrix with zero rows consumes no randomness and may be read-only.

Reference