InverseGaussianProcessMSH.NonRandomStream Class Reference

NonRandomStream:
Given a double array, this class will return those values as if it where a random stream. More...

Inheritance diagram for InverseGaussianProcessMSH.NonRandomStream:

Collaboration diagram for InverseGaussianProcessMSH.NonRandomStream:

Public Member Functions
	NonRandomStream (double[] array)
	NonRandomStream (double value)
double	nextDouble ()
	Returns a (pseudo)random number from the uniform distribution over the interval \((0,1)\), using this stream, after advancing its state by one step. More...
void	nextArrayOfDouble (double[] u, int start, int n)
	Generates n (pseudo)random numbers from the uniform distribution and stores them into the array u starting at index start. More...
void	nextArrayOfInt (int i, int j, int[] u, int start, int n)
	Generates n (pseudo)random numbers from the discrete uniform distribution over the integers \(\{i,i+1,…,j\}\), using this stream and stores the result in the array u starting at index start. More...
int	nextInt (int i, int j)
	Returns a (pseudo)random number from the discrete uniform distribution over the integers \(\{i,i+1,…,j\}\), using this stream. More...
void	resetNextSubstream ()
	Reinitializes the stream to the beginning of its next substream: \(N_g\) is computed, and \(C_g\) and \(B_g\) are set to \(N_g\).
void	resetStartStream ()
	Reinitializes the stream to its initial state \(I_g\): \(C_g\) and \(B_g\) are set to \(I_g\).
void	resetStartSubstream ()
	Reinitializes the stream to the beginning of its current substream: \(C_g\) is set to \(B_g\).
String	toString ()
	Returns a string containing the current state of this stream. More...

Package Attributes
double []	array
int	position

Detailed Description

NonRandomStream:
Given a double array, this class will return those values as if it where a random stream.

Careful: Will not hard copy the array given as input. And not checking for end of array for the time being. And not checking j>i.

Member Function Documentation

nextArrayOfDouble()

void nextArrayOfDouble	(	double []	u,
		int	start,
		int	n
	)

Generates n (pseudo)random numbers from the uniform distribution and stores them into the array u starting at index start.

Parameters

u	array that will contain the generated uniforms
start	starting index, in the array u, to write uniforms from
n	number of uniforms to generate

Implements RandomStream.

nextArrayOfInt()

void nextArrayOfInt	(	int	i,
		int	j,
		int []	u,
		int	start,
		int	n
	)

Generates n (pseudo)random numbers from the discrete uniform distribution over the integers \(\{i,i+1,…,j\}\), using this stream and stores the result in the array u starting at index start.

(Calls nextInt n times.)

Parameters

i	smallest integer that can be generated
j	greatest integer that can be generated
u	array that will contain the generated values
start	starting index, in the array u, to write integers from
n	number of values being generated

Implements RandomStream.

nextDouble()

double nextDouble

(

)

Returns a (pseudo)random number from the uniform distribution over the interval \((0,1)\), using this stream, after advancing its state by one step.

The generators programmed in SSJ never return the values 0 or 1.

Returns

the next generated uniform

Implements RandomStream.

nextInt()

int nextInt	(	int	i,
		int	j
	)

Returns a (pseudo)random number from the discrete uniform distribution over the integers \(\{i,i+1,…,j\}\), using this stream.

(Calls nextDouble once.)

Parameters

i	smallest integer that can be generated
j	greatest integer that can be generated

Returns

the generated integer

Implements RandomStream.

toString()

String toString

(

)

Returns a string containing the current state of this stream.

Returns

the state of the generator formated as a string

Implements RandomStream.

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The documentation for this class was generated from the following file:

• InverseGaussianProcessMSH.java