Uses of Class
jline.io.Ret.pfqnNc

Packages that use Ret.pfqnNc

Package	Description
jline.api	Procedural algorithms for solving stochastic models

Uses of Ret.pfqnNc in jline.api

Methods in jline.api that return Ret.pfqnNc

Modifier and Type	Method	Description
static Ret.pfqnNc	PFQN.compute_norm_const_ld(Matrix L, Matrix N, Matrix Z, Matrix mu, SolverOptions options)	Run a normalizing constant solution method in a load-dependent model
static Ret.pfqnNc	PFQN.pfqn_ca(Matrix L, Matrix N)	Compute the normalizing constant using the convolution algorithm
static Ret.pfqnNc	PFQN.pfqn_ca(Matrix L, Matrix N, Matrix Z)	Compute the normalizing constant using the convolution algorithm
static Ret.pfqnNc	PFQN.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.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.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.pfqn_gldsingle(Matrix L, Matrix N, Matrix mu, SolverOptions options)	Auxiliary function used by pfqn_gld to computer the normalizing constant in a single-class load-dependent model.
static Ret.pfqnNc	PFQN.pfqn_kt(Matrix L, Matrix N, Matrix Z)	Knessl-Tier asymptotic expansion of the normalizing constant using the ray method.
static Ret.pfqnNc	PFQN.pfqn_le(Matrix L, Matrix N, Matrix Z)	Logistic expansion method to compute the normalizing constant
static Ret.pfqnNc	PFQN.pfqn_ls(Matrix L, Matrix N, Matrix Z, long I)	Logistic sampling method to compute the normalizing constant
static Ret.pfqnNc	PFQN.pfqn_ls(Matrix L, Matrix N, Matrix Z, long I, long seed)	Logistic sampling method to compute the normalizing constant
static Ret.pfqnNc	PFQN.pfqn_mci(Matrix D, Matrix N, Matrix Z, int I, String variant)
static Ret.pfqnNc	PFQN.pfqn_mmint2(Matrix L, Matrix N, Matrix Z)
static Ret.pfqnNc	PFQN.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.pfqn_mmsample2(Matrix L, Matrix N, Matrix Z, int samples)
static Ret.pfqnNc	PFQN.pfqn_ncld(Matrix L, Matrix N, Matrix Z, Matrix mu, SolverOptions options)	Main method to compute the normalizing constant of a load-dependent model
static Ret.pfqnNc	PFQN.pfqn_panacea(Matrix L, Matrix N, Matrix Z)	Compute the PANACEA approximation
static Ret.pfqnNc	PFQN.pfqn_panacea(Matrix L, Matrix N, Matrix Z, SolverOptions options)	Compute the PANACEA approximation
static Ret.pfqnNc	PFQN.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.pfqn_recal(Matrix L, Matrix N, Matrix Z)	RECAL method to compute the normalizing constant of a load-independent closed queueing network model
static Ret.pfqnNc	PFQN.pfqn_recal(Matrix L, Matrix N, Matrix Z, Matrix m0)	RECAL method to compute the normalizing constant of a load-independent closed queueing network model