Uses of Class
jline.api.nc.MeOqnOptions

Packages that use MeOqnOptions

Package	Description
jline.api.nc
jline.solvers.nc	This package provides an implementation of SolverNC.

Uses of MeOqnOptions in jline.api.nc

Methods in jline.api.nc with parameters of type MeOqnOptions

Modifier and Type	Method	Description
static MeCqnResult	Me_cqn.me_cqn(int M, int R, Matrix N, Matrix mu, Matrix Cs, Matrix[][] P, Matrix c, int[] refstat, boolean[] insens, MeOqnOptions options)	Maximum Entropy algorithm for Closed Queueing Networks with discipline-aware building blocks: insens[i] marks a station with an insensitive scheduling discipline (PS, LCFS-PR), solved with the product-form mean queue length instead of the FCFS GE formula.
static MeCqnResult	Me_cqn.me_cqn(int M, int R, Matrix N, Matrix mu, Matrix Cs, Matrix[][] P, Matrix c, int[] refstat, MeOqnOptions options)	Maximum Entropy algorithm for Closed Queueing Networks.
static MeCqnResult	Me_mqn.me_mqn(int M, int R, boolean[] openClasses, Matrix lambda0, Matrix Ca0, Matrix N, Matrix mu, Matrix Cs, Matrix[][] P, Matrix c, int[] refstat, boolean[] insens, MeOqnOptions options)	Maximum Entropy algorithm for Mixed Queueing Networks with discipline-aware building blocks (insens[i] true for PS/LCFS-PR).
static MeCqnResult	Me_mqn.me_mqn(int M, int R, boolean[] openClasses, Matrix lambda0, Matrix Ca0, Matrix N, Matrix mu, Matrix Cs, Matrix[][] P, Matrix c, int[] refstat, MeOqnOptions options)	Maximum Entropy algorithm for Mixed Queueing Networks.
static MeOqnResult	Me_oqn.me_oqn(int M, int R, Matrix lambda0, Matrix Ca0, Matrix mu, Matrix Cs, Matrix[][] P, MeOqnOptions options)
static MeOqnResult	Me_oqn.me_oqn(int M, int R, Matrix lambda0, Matrix Ca0, Matrix mu, Matrix Cs, Matrix[][] P, Matrix c, boolean[] insens, MeOqnOptions options)	Maximum Entropy algorithm for Open Queueing Networks with discipline-aware building blocks: insens[i] marks a station with an insensitive scheduling discipline (PS, LCFS-PR), solved with the product-form mean queue length L_r = rho_r/(1-rho) instead of the FCFS GE formula.
static MeOqnResult	Me_oqn.me_oqn(int M, int R, Matrix lambda0, Matrix Ca0, Matrix mu, Matrix Cs, Matrix[][] P, Matrix c, MeOqnOptions options)	Maximum Entropy algorithm for Open Queueing Networks.

Uses of MeOqnOptions in jline.solvers.nc

Methods in jline.solvers.nc with parameters of type MeOqnOptions

Modifier and Type	Method	Description
NCResult	SolverNC.meClosed(MeOqnOptions meOptions)	Maximum Entropy algorithm for Closed Queueing Networks with custom options (Kouvatsos 1994, Section 3.3).
NCResult	SolverNC.meMixed(MeOqnOptions meOptions)	Maximum Entropy algorithm for Mixed Queueing Networks with custom options.
NCResult	SolverNC.meOpen(MeOqnOptions meOptions)	Maximum Entropy algorithm for Open Queueing Networks with custom options.