Map_lambdaKt

All Implemented Interfaces:


public final class Map_lambdaKt

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 Double`	`map_lambda(Matrix D0, Matrix D1)`	Computes the arrival rate (lambda) of a Markovian Arrival Process (MAP).
`final static Double`	`map_lambda(MatrixCell MAP)`	Computes the arrival rate (lambda) of a Markovian Arrival Process (MAP) using matrices stored in a MatrixCell.

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

- Constructor Detail
- Method Detail
  - map_lambda
```
 final static Double map_lambda(Matrix D0, Matrix D1)
```
    Computes the arrival rate (lambda) of a Markovian Arrival Process (MAP).
    The arrival rate is calculated using the hidden (D0) and visible (D1) transition matrices of the MAP. This is done by first determining the steady-state vector (pi) of the CTMC underlying the MAP and then using it to compute the rate at which visible transitions (events) occur.
    
    Parameters:
    
    D0 - The hidden transition matrix of the MAP, representing transitions without visible events.
    
    D1 - The visible transition matrix of the MAP, representing transitions with visible events.
    
    Returns:
    
    The arrival rate (lambda) of the MAP.
  - map_lambda
```
 final static Double map_lambda(MatrixCell MAP)
```
    Computes the arrival rate (lambda) of a Markovian Arrival Process (MAP) using matrices stored in a MatrixCell.
    This is a convenience method that extracts the D0 and D1 matrices from a given MAP stored in a MatrixCell and computes the arrival rate (lambda). The computation involves using the steady-state vector (pi) of the CTMC underlying the MAP and determining the rate of visible transitions.
    
    Parameters:
    
    MAP - The Markovian Arrival Process stored in a MatrixCell, containing the (D0, D1) matrices.
    
    Returns:
    
    The arrival rate (lambda) of the MAP.