Package jline.api.mam

Class Map_count_varKt

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    • Enum Constant Summary

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    • Method Summary

      Modifier and Type Method Description
      final static Double map_count_var(MatrixCell MAP, Double t) Computes the variance of the counting process over a specified interval length for a given Markovian Arrival Process (MAP).
      final static DoubleArray map_count_var(MatrixCell MAP, DoubleArray t) Computes the variance of the counting process over multiple specified interval lengths for a given Markovian Arrival Process (MAP).

      • Methods inherited from class java.lang.Object

        clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

    • Constructor Detail

    • Method Detail

      • map_count_var

         final static Double map_count_var(MatrixCell MAP, Double t)

        Computes the variance of the counting process over a specified interval length for a given Markovian Arrival Process (MAP).

        This function calculates the variance in the number of events occurring in a MAP over an interval of length t. It uses the mean counting process function for a single interval length and retrieves the first element.

        Parameters:
        MAP - The Markovian Arrival Process stored in a MatrixCell.
        t - The length of the interval over which to compute the variance.
        Returns:

        The variance of the counting process over the interval t.

      • map_count_var

         final static DoubleArray map_count_var(MatrixCell MAP, DoubleArray t)

        Computes the variance of the counting process over multiple specified interval lengths for a given Markovian Arrival Process (MAP).

        This function calculates the variance in the number of events occurring in a MAP over each interval length provided in the array t. It employs the MAP's infinitesimal generator, stationary distribution, and other parameters to determine the variance. The results are returned in an array corresponding to the input intervals.

        Parameters:
        MAP - The Markovian Arrival Process stored in a MatrixCell.
        t - An array of interval lengths over which to compute the variance.
        Returns:

        An array of doubles, where each element represents the variance of the counting process over the corresponding interval length in t.