Uses of Class
jline.api.nc.MeCqnResult

Packages that use MeCqnResult

Package	Description
jline.api.nc

Uses of MeCqnResult in jline.api.nc

Methods in jline.api.nc that return MeCqnResult

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)
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.