Package jline.api.pfqn.mva

Class Pfqn_linearizerppKt

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    • Method Summary

      Modifier and Type Method Description
      final static Ret.pfqnAMVA pfqn_linearizerpp(Matrix L, Matrix N, Matrix Z, Integer level, Double tol, Integer maxiter, Integer flag) Linearizer approximate mean value analysis algorithm

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

    • Constructor Detail

    • Method Detail

      • pfqn_linearizerpp

         final static Ret.pfqnAMVA pfqn_linearizerpp(Matrix L, Matrix N, Matrix Z, Integer level, Double tol, Integer maxiter, Integer flag)

        Linearizer approximate mean value analysis algorithm

        Parameters:
        L -

        • the service demand matrix

        N -

        • the population vector

        Z -

        • the think times

        tol -

        • max tolerance admitted between successive iterations

        maxiter -

        • maximum number of iterations

        Returns:

        • the performance measures for the given network

        Linearizer approximate mean value analysis algorithm