Package jline.api.mam

Class Mmap_count_meanKt

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    • Method Summary

      Modifier and Type Method Description
      final static Matrix mmap_count_mean(MatrixCell MMAP, Double t) Computes the mean count vector of events of different types in a Markovian Arrival Process with marked arrivals (MMAP) over a time period.

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      • mmap_count_mean

         final static Matrix mmap_count_mean(MatrixCell MMAP, Double t)

        Computes the mean count vector of events of different types in a Markovian Arrival Process with marked arrivals (MMAP) over a time period.

        This method calculates the expected number of events of each type over a given time period t for a MMAP, which is represented by a set of matrices. The MMAP contains multiple types of arrivals, each represented by a separate matrix in the MMAP MatrixCell. The count mean for each type of event is computed using the stationary distribution of the underlying Markov chain (theta) and the event matrices.

        Parameters:
        MMAP - the MatrixCell containing the transition matrices of the MMAP, with D0, D1, ...
        t - the time period over which to compute the mean counts
        Returns:

        a Matrix containing the mean count vector of events over time t