Me_meanKt

All Implemented Interfaces:


public final class Me_meanKt

Nested Class Summary

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Modifier and Type	Class	Description

Field Summary

Fields
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Constructor Summary

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Enum Constant Summary

Enum Constants
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Method Summary

Modifier and Type	Method	Description
`final static Double`	`me_mean(Matrix alpha, Matrix A)`	Computes the mean of a Matrix Exponential (ME) distribution.
`final static Double`	`me_mean(MatrixCell ME)`	Computes the mean of a Matrix Exponential (ME) distribution 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
  - me_mean
```
 final static Double me_mean(Matrix alpha, Matrix A)
```
    Computes the mean of a Matrix Exponential (ME) distribution.
    For an ME distribution with initial vector alpha and matrix parameter A, the mean is computed as: mean = -alpha * A^(-1) * e where e is a vector of ones.
    
    Parameters:
    
    alpha - The initial vector of the ME distribution
    
    A - The matrix parameter of the ME distribution
    
    Returns:
    
    The mean of the ME distribution
  - me_mean
```
 final static Double me_mean(MatrixCell ME)
```
    Computes the mean of a Matrix Exponential (ME) distribution using matrices stored in a MatrixCell.
    This is a convenience method that extracts alpha and A from a given ME stored in a MatrixCell and computes the mean.
    Note: For ME distributions, the MatrixCell format is {D0=A, D1=-Aealpha'}. We extract A from D0.
    
    Parameters:
    
    ME - The Matrix Exponential distribution stored in a MatrixCell
    
    Returns:
    
    The mean of the ME distribution