Class Mmap_exponentialKt
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- All Implemented Interfaces:
public final class Mmap_exponentialKt
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Method Summary
Modifier and Type Method Description final static MatrixCell
mmap_exponential(Matrix lambda, Integer n)
Fits an order-n Markovian Arrival Process with marked arrivals (MMAP) based on the given arrival rates for each job class. final static MatrixCell
mmap_exponential(Matrix lambda)
Fits a Markovian Arrival Process with marked arrivals (MMAP) with a single state based on the given arrival rates for each job class. -
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Method Detail
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mmap_exponential
final static MatrixCell mmap_exponential(Matrix lambda, Integer n)
Fits an order-n Markovian Arrival Process with marked arrivals (MMAP) based on the given arrival rates for each job class.
This method constructs an MMAP with
n
states for each job class, where each class has its own arrival rate specified by the matrixlambda
. The resulting MMAP includes a D0 matrix for the hidden transitions, a D1 matrix for visible transitions, and additional matrices for each job class marking the type of arrival.- Parameters:
lambda
- a 1xK matrix describing the arrival rates for each job class, where K is the number of job classesn
- the number of states in the MMAP- Returns:
a MatrixCell representing the MMAP with the specified characteristics
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mmap_exponential
final static MatrixCell mmap_exponential(Matrix lambda)
Fits a Markovian Arrival Process with marked arrivals (MMAP) with a single state based on the given arrival rates for each job class.
This method constructs an MMAP with a single state (
n = 1
) for each job class, using the arrival rates specified by the matrixlambda
. It is a simplified version of themmap_exponential
function that defaults to one state per job class.- Parameters:
lambda
- a 1xK matrix describing the arrival rates for each job class, where K is the number of job classes- Returns:
a MatrixCell representing the MMAP with the specified arrival rates and a single state
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