Class Pfqn_nc

java.lang.Object
jline.api.pfqn.nc.Pfqn_nc

public final class Pfqn_nc extends Object
  • Method Details

    • pfqn_nc

      public static Ret.pfqnNcXQ pfqn_nc(Matrix lambda, Matrix L, Matrix N, Matrix Z, SolverOptions options)
      Normalizing constant of a closed or mixed product-form network, with the mean values a few methods produce as a by-product.

      Equivalent to pfqn_nc(lambda, L, N, Z, options, true): the caller is assumed to want X and Q when a method can supply them.

    • pfqn_nc

      public static Ret.pfqnNcXQ pfqn_nc(Matrix lambda, Matrix L, Matrix N, Matrix Z, SolverOptions options, boolean wantXQ)
      Parameters:
      wantXQ - false when the caller wants lG ALONE. A method that supplies mean values by simulation ('mcmc') must not pay for a run nobody reads; the reference passes nargout>=2 here.
    • compute_norm_const

      public static Ret.pfqnNcXQ compute_norm_const(Matrix L, Matrix N, Matrix Z, SolverOptions options)
    • compute_norm_const

      public static Ret.pfqnNcXQ compute_norm_const(Matrix L, Matrix N, Matrix Z, SolverOptions options, boolean wantXQ)
      Auxiliary routine that computes lG after the initial filtering of L, N and Z.
      Parameters:
      wantXQ - false when the caller requested lG alone.