Map_meanKt

All Implemented Interfaces:


public final class Map_meanKt

Nested Class Summary

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Field Summary

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Enum Constant Summary

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Method Summary

Modifier and Type	Method	Description
`final static Double`	`map_mean(Matrix D0, Matrix D1)`	Computes the mean inter-arrival time of a Markovian Arrival Process (MAP).
`final static Double`	`map_mean(MatrixCell MAP)`	Computes the mean inter-arrival time 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_mean
```
 final static Double map_mean(Matrix D0, Matrix D1)
```
    Computes the mean inter-arrival time of a Markovian Arrival Process (MAP).
    The mean inter-arrival time is calculated as the inverse of the overall arrival rate (lambda) of the MAP. This rate is derived from the hidden (D0) and visible (D1) transition matrices of the MAP.
    
    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 mean inter-arrival time of the MAP.
  - map_mean
```
 final static Double map_mean(MatrixCell MAP)
```
    Computes the mean inter-arrival time 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 mean inter-arrival time, which is the inverse of the overall arrival rate (lambda) of the MAP.
    
    Parameters:
    
    MAP - The Markovian Arrival Process stored in a MatrixCell, containing the (D0, D1) matrices.
    
    Returns:
    
    The mean inter-arrival time of the MAP.