Package jline.api.mam

Class Mmap_exponentialKt

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      Modifier and Type Class Description
    • Field Summary

      Fields 
      Modifier and Type Field Description
    • Constructor Summary

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      Constructor Description
    • Enum Constant Summary

      Enum Constants 
      Enum Constant Description
    • 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.
      • Methods inherited from class java.lang.Object

        clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
    • Constructor Detail

    • Method Detail

      • 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 matrix lambda. 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 classes
        n - the number of states in the MMAP
        Returns:

        a MatrixCell representing the MMAP with the specified characteristics

      • 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 matrix lambda. It is a simplified version of the mmap_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