Class Mmap_exponentialKt
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public final class Mmap_exponentialKt
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Method Summary
Modifier and Type Method Description final static MatrixCellmmap_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 MatrixCellmmap_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
nstates 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_exponentialfunction 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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