Uses of Class
jline.io.Ret.pfqnNc

Packages that use Ret.pfqnNc

Package	Description
jline.api.pfqn.ld	Load-dependent Product Form Queueing Network algorithms.
jline.api.pfqn.nc	Normalizing constant algorithms for Product Form Queueing Networks.

Uses of Ret.pfqnNc in jline.api.pfqn.ld

Methods in jline.api.pfqn.ld that return Ret.pfqnNc

Modifier and Type	Method	Description
static Ret.pfqnNc	Pfqn_ncld.compute_norm_const_ld(Matrix L, Matrix N, Matrix Z, Matrix mu, SolverOptions options)
static Ret.pfqnNc	Pfqn_gld.pfqn_gld(Matrix L, Matrix N, Matrix mu, SolverOptions options)	Compute the normalizing constant of a single-class load-dependent closed queueing network model
static Ret.pfqnNc	Pfqn_gldsingle.pfqn_gldsingle(Matrix L, Matrix N, Matrix mu, SolverOptions options)	Auxiliary function used by pfqn_gld to compute the normalizing constant in a single-class load-dependent model.
static Ret.pfqnNc	Pfqn_ncld.pfqn_ncld(Matrix L, Matrix N, Matrix Z, Matrix mu, SolverOptions options)

Uses of Ret.pfqnNc in jline.api.pfqn.nc

Methods in jline.api.pfqn.nc that return Ret.pfqnNc

Modifier and Type	Method	Description
static Ret.pfqnNc	Pfqn_ca.pfqn_ca(Matrix L, Matrix N)
static Ret.pfqnNc	Pfqn_ca.pfqn_ca(Matrix L, Matrix N, Matrix Z)
static Ret.pfqnNc	Pfqn_cub.pfqn_cub(Matrix L, Matrix N, Matrix Z)	Cubature method to compute the normalizing constant of a load-independent closed queueing network model
static Ret.pfqnNc	Pfqn_cub.pfqn_cub(Matrix L, Matrix N, Matrix Z, int order, double atol)	Cubature method to compute the normalizing constant of a load-independent closed queueing network model
static Ret.pfqnNc	Pfqn_kt.pfqn_kt(Matrix L, Matrix N, Matrix Z)	Knessl-Tier asymptotic expansion of the normalizing constant using the ray method.
static Ret.pfqnNc	Pfqn_le.pfqn_le(Matrix L, Matrix N)
static Ret.pfqnNc	Pfqn_le.pfqn_le(Matrix L, Matrix N, Matrix Z)	Logistic expansion method to compute the normalizing constant.
static Ret.pfqnNc	Pfqn_ls.pfqn_ls(Matrix L, Matrix N, long I)
static Ret.pfqnNc	Pfqn_ls.pfqn_ls(Matrix L, Matrix N, long I, long seed)
static Ret.pfqnNc	Pfqn_ls.pfqn_ls(Matrix L, Matrix N, Matrix Z, long I)
static Ret.pfqnNc	Pfqn_ls.pfqn_ls(Matrix L, Matrix N, Matrix Z, long I, long seed)	Logistic sampling method to compute the normalizing constant.
static Ret.pfqnNc	Pfqn_mci.pfqn_mci(Matrix D, Matrix N, Matrix Z, int I, String variant)
static Ret.pfqnNc	Pfqn_mmint2.pfqn_mmint2(Matrix L, Matrix N, Matrix Z)
static Ret.pfqnNc	Pfqn_mmint2_gausslaguerre.pfqn_mmint2_gausslaguerre(Matrix L, Matrix N, Matrix Z)
static Ret.pfqnNc	Pfqn_mmint2_gausslaguerre.pfqn_mmint2_gausslaguerre(Matrix L, Matrix N, Matrix Z, int m)
static Ret.pfqnNc	Pfqn_mmint2_gausslegendre.pfqn_mmint2_gausslegendre(Matrix L, Matrix N, Matrix Z, Integer m)	Compute the normalizing constant of a repairmen model using Gauss-Legendre integration.
static Ret.pfqnNc	Pfqn_mmsample2.pfqn_mmsample2(Matrix L, Matrix N, Matrix Z, int samples)
static Ret.pfqnNc	Pfqn_panacea.pfqn_panacea(Matrix L, Matrix N, Matrix Z)
static Ret.pfqnNc	Pfqn_panacea.pfqn_panacea(Matrix L, Matrix N, Matrix Z, SolverOptions options)	Compute the PANACEA approximation
static Ret.pfqnNc	Pfqn_recal.pfqn_recal(Matrix L, Matrix N)	RECAL method to compute the normalizing constant of a load-independent closed queueing network model.
static Ret.pfqnNc	Pfqn_recal.pfqn_recal(Matrix L, Matrix N, Matrix Z)
static Ret.pfqnNc	Pfqn_recal.pfqn_recal(Matrix L, Matrix N, Matrix Z, Matrix m0)