Uses of Class
jline.io.Ret.pfqnAMVA

Packages that use Ret.pfqnAMVA

Package	Description
jline.api.pfqn.mva	Mean Value Analysis algorithms for Product Form Queueing Networks.

Uses of Ret.pfqnAMVA in jline.api.pfqn.mva

Methods in jline.api.pfqn.mva that return Ret.pfqnAMVA

Modifier and Type	Method	Description
static Ret.pfqnAMVA	Pfqn_ab_amva.ab_linearizer(int K, int M, Matrix population, Matrix nservers, List<SchedStrategy> type, Matrix v, Matrix s, boolean fcfsSchmidt, String marginalProbMethod)
static Ret.pfqnAMVA	Pfqn_ab_amva.pfqn_ab_core(int K, int M, Matrix population, Matrix nservers, List<SchedStrategy> type, Matrix v, Matrix s, int maxiter, double[][][] D, Matrix lIn, boolean fcfsSchmidt, String marginalProbMethod)
static Ret.pfqnAMVA	Pfqn_aql.pfqn_aql(Matrix L, Matrix N)
static Ret.pfqnAMVA	Pfqn_aql.pfqn_aql(Matrix L, Matrix N, Matrix Z)
static Ret.pfqnAMVA	Pfqn_aql.pfqn_aql(Matrix Lin, Matrix N, Matrix Zin, double tol, int maxiter)
static Ret.pfqnAMVA	Pfqn_aql.pfqn_aql(Matrix L, Matrix N, Matrix Z, int maxiter)
static Ret.pfqnAMVA	Pfqn_bs.pfqn_bs(Matrix L, Matrix N)
static Ret.pfqnAMVA	Pfqn_bs.pfqn_bs(Matrix L, Matrix N, Matrix Z)
static Ret.pfqnAMVA	Pfqn_bs.pfqn_bs(Matrix L, Matrix N, Matrix Z, double tol, int maxiter)
static Ret.pfqnAMVA	Pfqn_bs.pfqn_bs(Matrix L, Matrix N, Matrix Z, double tol, int maxiter, Matrix QN0)
static Ret.pfqnAMVA	Pfqn_bs.pfqn_bs(Matrix L, Matrix N, Matrix Z, double tol, int maxiter, Matrix QN0, SchedStrategy[] type)
static Ret.pfqnAMVA	Pfqn_bs.pfqn_bs(Matrix L, Matrix N, Matrix Z, double tol, int maxiter, Matrix QN0, SchedStrategy[] type, Matrix weight)	Bard-Schweitzer approximate mean value analysis algorithm with optional weighted priorities.
static Ret.pfqnAMVA	Pfqn_bs.pfqn_bs(Matrix L, Matrix N, Matrix Z, double tol, int maxiter, Matrix QN0, Matrix weight)	Bard-Schweitzer approximate mean value analysis algorithm with weighted priorities.
static Ret.pfqnAMVA	Pfqn_bsfcfs.pfqn_bsfcfs(Matrix L, Matrix N)
static Ret.pfqnAMVA	Pfqn_bsfcfs.pfqn_bsfcfs(Matrix L, Matrix N, Matrix Z)
static Ret.pfqnAMVA	Pfqn_bsfcfs.pfqn_bsfcfs(Matrix L, Matrix N, Matrix Z, double tol)
static Ret.pfqnAMVA	Pfqn_bsfcfs.pfqn_bsfcfs(Matrix L, Matrix N, Matrix Z, double tol, int maxiter)
static Ret.pfqnAMVA	Pfqn_bsfcfs.pfqn_bsfcfs(Matrix L, Matrix N, Matrix Z, double tol, int maxiter, Matrix QN0)
static Ret.pfqnAMVA	Pfqn_bsfcfs.pfqn_bsfcfs(Matrix L, Matrix N, Matrix Z, double tol, int maxiter, Matrix QN0, Matrix weight)	Bard-Schweitzer approximate MVA for FCFS scheduling with weighted priorities.
static Ret.pfqnAMVA	Pfqn_egflinearizer.pfqn_egflinearizer(Matrix L, Matrix N, Matrix Z, SchedStrategy[] type, double tol, int maxiter, Matrix alpha)
static Ret.pfqnAMVA	Pfqn_gflinearizer.pfqn_gflinearizer(Matrix L, Matrix N, Matrix Z, SchedStrategy[] type, double tol, int maxiter, double alpha)	General-form linearizer algorithm
static Ret.pfqnAMVA	Pfqn_linearizer.pfqn_linearizer(Matrix L, Matrix N, Matrix Z, SchedStrategy[] type)
static Ret.pfqnAMVA	Pfqn_linearizer.pfqn_linearizer(Matrix L, Matrix N, Matrix Z, SchedStrategy[] type, double tol)
static Ret.pfqnAMVA	Pfqn_linearizer.pfqn_linearizer(Matrix L, Matrix N, Matrix Z, SchedStrategy[] type, double tol, int maxiter)	Linearizer approximate mean value analysis algorithm
static Ret.pfqnAMVA	Pfqn_linearizermx.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.
static Ret.pfqnAMVA	Pfqn_linearizerpp.pfqn_linearizerpp(Matrix L, Matrix N, int level)
static Ret.pfqnAMVA	Pfqn_linearizerpp.pfqn_linearizerpp(Matrix L, Matrix N, Matrix Z, int level)
static Ret.pfqnAMVA	Pfqn_linearizerpp.pfqn_linearizerpp(Matrix L, Matrix N, Matrix Z, int level, double tol)
static Ret.pfqnAMVA	Pfqn_linearizerpp.pfqn_linearizerpp(Matrix L, Matrix N, Matrix Z, int level, double tol, int maxiter)
static Ret.pfqnAMVA	Pfqn_linearizerpp.pfqn_linearizerpp(Matrix L, Matrix N, Matrix Z, int level, double tol, int maxiter, int flag)