NonRandomStream: Given a double array, this class will return those values as if it where a random stream. More...
Public Member Functions | |
| 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. | |
| 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. | |
| 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. | |
| 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. | |
| void | resetNextSubstream () |
| Reinitializes the stream to the beginning of its next substream: | |
| 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: | |
| String | toString () |
| Returns a string containing the current state of this stream. | |
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.
Definition at line 186 of file InverseGaussianProcessMSH.java.
Member Function Documentation
◆ nextArrayOfDouble()
| void umontreal.ssj.stochprocess.InverseGaussianProcessMSH.NonRandomStream.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 umontreal.ssj.rng.RandomStream.
Definition at line 204 of file InverseGaussianProcessMSH.java.
◆ nextArrayOfInt()
| void umontreal.ssj.stochprocess.InverseGaussianProcessMSH.NonRandomStream.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 umontreal.ssj.rng.RandomStream.
Definition at line 209 of file InverseGaussianProcessMSH.java.
◆ nextDouble()
| double umontreal.ssj.stochprocess.InverseGaussianProcessMSH.NonRandomStream.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 umontreal.ssj.rng.RandomStream.
Definition at line 200 of file InverseGaussianProcessMSH.java.
◆ nextInt()
| int umontreal.ssj.stochprocess.InverseGaussianProcessMSH.NonRandomStream.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 umontreal.ssj.rng.RandomStream.
Definition at line 215 of file InverseGaussianProcessMSH.java.
◆ resetNextSubstream()
| void umontreal.ssj.stochprocess.InverseGaussianProcessMSH.NonRandomStream.resetNextSubstream | ( | ) |
Reinitializes the stream to the beginning of its next substream:
\(N_g\) is computed, and \(C_g\) and \(B_g\) are set to \(N_g\).
Implements umontreal.ssj.rng.RandomStream.
Definition at line 219 of file InverseGaussianProcessMSH.java.
◆ resetStartStream()
| void umontreal.ssj.stochprocess.InverseGaussianProcessMSH.NonRandomStream.resetStartStream | ( | ) |
Reinitializes the stream to its initial state \(I_g\): \(C_g\) and \(B_g\) are set to \(I_g\).
Implements umontreal.ssj.rng.RandomStream.
Definition at line 222 of file InverseGaussianProcessMSH.java.
◆ resetStartSubstream()
| void umontreal.ssj.stochprocess.InverseGaussianProcessMSH.NonRandomStream.resetStartSubstream | ( | ) |
Reinitializes the stream to the beginning of its current substream:
\(C_g\) is set to \(B_g\).
Implements umontreal.ssj.rng.RandomStream.
Definition at line 226 of file InverseGaussianProcessMSH.java.
◆ toString()
| String umontreal.ssj.stochprocess.InverseGaussianProcessMSH.NonRandomStream.toString | ( | ) |
Returns a string containing the current state of this stream.
- Returns
- the state of the generator formated as a string
Implements umontreal.ssj.rng.RandomStream.
Definition at line 229 of file InverseGaussianProcessMSH.java.
The documentation for this class was generated from the following file:
- src/main/java/umontreal/ssj/stochprocess/InverseGaussianProcessMSH.java
