Uses of Package
jline.api.mc

Packages that use jline.api.mc

Package	Description
jline.api.mc	Markov Chain analysis algorithms.
jline.lang.processes	This package contains processes and statistical distributions used to specify arrival rates, service rates, and item popularities

Classes in jline.api.mc used by jline.api.mc

Class	Description
Ctmc_accumulated.Result	Outcome: L and piT have one row per time point; kmax is the deepest truncation.
Ctmc_bicgstab.BicgstabResult	Outcome of a BiCGSTAB solve.
Ctmc_fau.CtmcFauResult	Transient distribution of a fast adaptive uniformization sweep, together with the diagnostics that make its error auditable.
Ctmc_foxglynn.FoxGlynnWeights	Poisson weights on the Fox-Glynn truncation window.
Ctmc_gaussseidel.Result	Outcome: row vector p, flag, scaled residual relres and sweep count iter.
Ctmc_gmres.GmresResult	Outcome of a GMRES solve.
Ctmc_gth.Result	Outcome: row vector p and flag (0 success, 1 several closed classes).
Ctmc_jacobi.Result	Outcome: row vector p, flag, scaled residual relres and sweep count iter.
Ctmc_multi.CtmcMultiResult	Result of ctmc_multi computation.
Ctmc_power.Result	Outcome: row vector p, flag, scaled residual relres and sweep count iter.
Ctmc_saddlepoint.SaddlepointResult	Result of a saddlepoint evaluation, one entry per (t,k) pair.
Ctmc_solve_reducible_blkdecompResult	Result of Ctmc_solve_reducible_blkdecomp.ctmc_solve_reducible_blkdecomp_full(jline.util.matrix.Matrix).
Ctmc_solve_reducible.CtmcSolveReducibleResult	Result of full reducible CTMC solve.
Ctmc_sor.SorResult	Outcome: row vector p, flag, scaled residual relres, sweep count iter and final omega.
Ctmc_transient_sens.Result	Distribution and its sensitivity on the integrator's accepted grid.
CtmcPassagePh	The phase-type form of a first passage time into a target state set.
CtmcPassageTaboo	First passage into a target set B under a taboo set C, the out struct of the reference together with the defective law on the requested grid.
CtmcSsgReachabilityResult	Result data class for CTMC SSG reachability analysis
Dtmc_solve_reducible.DtmcSolveReducibleResult	Result class for DTMC solve reducible.
Dtmc_stochcomp.DtmcStochCompResult	Stochastic complement together with the blocks it was built from.
Dtmc_uniformization.DtmcUniformizationResult	Result class for DTMC uniformization analysis containing the probability vector and maximum iterations used.
PassageCurve	A passage-time law on a time grid.
PassageMomentsResult	Per-source and initial-law-weighted passage-time moments.
PassageTabooMomentsResult	Conditional passage-time moments under a taboo set, E[T^k | B before C].
Smp_stage_cif.Result	The cumulative incidences C (E x nt, zero rows where there is no arc) and the holding-time CDF.
Smp_stage_quad.Result	P (length E), the mean holding time m and the support end U.

Classes in jline.api.mc used by jline.lang.processes

Class	Description
Dtmc_stochcomp.DtmcStochCompResult	Stochastic complement together with the blocks it was built from.