Class Pfqn_cubKt

  • All Implemented Interfaces:

    
    public final class Pfqn_cubKt
    
                        
    • Nested Class Summary

      Nested Classes 
      Modifier and Type Class Description
    • Field Summary

      Fields 
      Modifier and Type Field Description
    • Constructor Summary

      Constructors 
      Constructor Description
    • Enum Constant Summary

      Enum Constants 
      Enum Constant Description
    • Method Summary

      Modifier and Type Method Description
      final static Ret.pfqnNc pfqn_cub(Matrix L, Matrix N, Matrix Z) Cubature method to compute the normalizing constant of a load-independent closed queueing network model
      final static Ret.pfqnNc pfqn_cub(Matrix L, Matrix N, Matrix Z, Integer order, Double atol) Cubature method to compute the normalizing constant of a load-independent closed queueing network model
      • Methods inherited from class java.lang.Object

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

    • Method Detail

      • pfqn_cub

         final static Ret.pfqnNc pfqn_cub(Matrix L, Matrix N, Matrix Z)

        Cubature method to compute the normalizing constant of a load-independent closed queueing network model

        Parameters:
        L -
        • demands at all stations

        N -
        • number of jobs for each class

        Z -
        • think time for each class

        Returns:

        normalizing constant, its logarithm, and mean performance metrics computed as a by-product

      • pfqn_cub

         final static Ret.pfqnNc pfqn_cub(Matrix L, Matrix N, Matrix Z, Integer order, Double atol)

        Cubature method to compute the normalizing constant of a load-independent closed queueing network model

        Parameters:
        L -
        • demands at all stations

        N -
        • number of jobs for each class

        Z -
        • think time for each class

        order -
        • cubature order ( ceil((|N|-1)/2) or above is exact)

        atol -
        • numerical tolerance for simplex quadrature

        Returns:

        normalizing constant, its logarithm, and mean performance metrics computed as a by-product