Uses of Class
jline.io.Ret.pfqnAMVA

Packages that use Ret.pfqnAMVA

Package	Description
jline.api	Procedural algorithms for solving stochastic models

Uses of Ret.pfqnAMVA in jline.api

Methods in jline.api that return Ret.pfqnAMVA

Modifier and Type	Method	Description
static Ret.pfqnAMVA	PFQN.pfqn_aql(Matrix L, Matrix N, Matrix Z)	AQL approximate MVA for a closed queueing network model.
static Ret.pfqnAMVA	PFQN.pfqn_aql(Matrix L, Matrix N, Matrix Z, double tol, int maxiter)	AQL approximate MVA for a closed queueing network model.
static Ret.pfqnAMVA	PFQN.pfqn_aql(Matrix L, Matrix N, Matrix Z, int maxiter)	AQL approximate MVA for a closed queueing network model.
static Ret.pfqnAMVA	PFQN.pfqn_bs(Matrix L, Matrix N)	Bard-Schweitzer approximate mean value analysis algorithm
static Ret.pfqnAMVA	PFQN.pfqn_bs(Matrix L, Matrix N, Matrix Z)	Bard-Schweitzer approximate mean value analysis algorithm
static Ret.pfqnAMVA	PFQN.pfqn_bs(Matrix L, Matrix N, Matrix Z, double tol)	Bard-Schweitzer approximate mean value analysis algorithm
static Ret.pfqnAMVA	PFQN.pfqn_bs(Matrix L, Matrix N, Matrix Z, double tol, int maxiter)	Bard-Schweitzer approximate mean value analysis algorithm
static Ret.pfqnAMVA	PFQN.pfqn_bs(Matrix L, Matrix N, Matrix Z, double tol, int maxiter, Matrix QN0)	Bard-Schweitzer approximate mean value analysis algorithm
static Ret.pfqnAMVA	PFQN.pfqn_bs(Matrix L, Matrix N, Matrix Z, double tol, int maxiter, Matrix QN0, SchedStrategy[] type)	Bard-Schweitzer approximate mean value analysis algorithm
static Ret.pfqnAMVA	PFQN.pfqn_egflinearizer(Matrix L, Matrix N, Matrix Z, SchedStrategy[] type, double tol, int maxiter, Matrix alpha)	Extended general form linearizer approximate mean value analysis algorithm.
static Ret.pfqnAMVA	PFQN.pfqn_gflinearizer(Matrix L, Matrix N, Matrix Z, SchedStrategy[] type, double tol, int maxiter, double alpha)
static Ret.pfqnAMVA	PFQN.pfqn_linearizer(Matrix L, Matrix N, Matrix Z, SchedStrategy[] type)	Linearizer approximate mean value analysis algorithm
static Ret.pfqnAMVA	PFQN.pfqn_linearizer(Matrix L, Matrix N, Matrix Z, SchedStrategy[] type, double tol)	Linearizer approximate mean value analysis algorithm
static Ret.pfqnAMVA	PFQN.pfqn_linearizer(Matrix L, Matrix N, Matrix Z, SchedStrategy[] type, double tol, int maxiter)	Linearizer approximate mean value analysis algorithm
static Ret.pfqnAMVA	PFQN.pfqn_linearizermx(Matrix lambda, Matrix L, Matrix N, Matrix Z, Matrix nservers, SchedStrategy[] type, double tol, int maxiter, String method)	Linearizer method for mixed models with multi-server stations