Map_pieKt

All Implemented Interfaces:


public final class Map_pieKt

Nested Class Summary

Nested Classes
Modifier and Type	Class	Description

Field Summary

Fields
Modifier and Type	Field	Description

Constructor Summary

Constructors
Constructor	Description

Enum Constant Summary

Enum Constants
Enum Constant	Description

Method Summary

Modifier and Type	Method	Description
`final static Matrix`	`map_pie(Matrix D0, Matrix D1)`	Computes the steady-state probability vector of the embedded Discrete Time Markov Chain (DTMC) associated with a Markovian Arrival Process (MAP).
`final static Matrix`	`map_pie(MatrixCell MAP)`	Computes the steady-state probability vector of the embedded DTMC of a MAP stored in a MatrixCell that contains the MAP's transition matrices.

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
- Method Detail
  - map_pie
```
 final static Matrix map_pie(Matrix D0, Matrix D1)
```
    Computes the steady-state probability vector of the embedded Discrete Time Markov Chain (DTMC) associated with a Markovian Arrival Process (MAP).
    The MAP is represented by two matrices: D0 and D1. D0 is the hidden transition matrix, representing transitions without an observed event, while D1 is the visible transition matrix, representing transitions with an observed event.
    
    Parameters:
    
    D0 - the hidden transition matrix of the MAP
    
    D1 - the visible transition matrix of the MAP
    
    Returns:
    
    the embedded steady-state probability vector
  - map_pie
```
 final static Matrix map_pie(MatrixCell MAP)
```
    Computes the steady-state probability vector of the embedded DTMC of a MAP stored in a MatrixCell that contains the MAP's transition matrices.
    
    Parameters:
    
    MAP - a MatrixCell containing the transition matrices D0 and D1 of the MAP
    
    Returns:
    
    the embedded steady-state probability vector