LINE Solver (C++)
Templated C++ port of the LINE queueing solver
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Class Hierarchy

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This inheritance list is sorted roughly, but not completely, alphabetically:
[detail level 12345]
 Cline::pfqn::AbAmvaResult< T >Return value of pfqn_ab_amva, mirroring [QN,UN,RN,CN,XN,totiter]
 Cline::ldes::engine::AccumThe running per-(station, class) integrals and tallies
 Cline::perm::AdaPartSamplerAdaptive partitioning (AdaPart) sampler for the permanent
 Cline::lang::processes::AggregateResult< T >What aggregate returns: the approximate law and the two NCD indices
 Cline::mva::AggrResult< T >Port of @@SolverMVA/getProbAggr.m: P(n1 jobs of class 1, n2 of class 2, ...) at station ist for the model's state, a scalar in [0,1] with its log
 Cline::ag::AgOptions
 Cline::ag::AgResult< T >What the RCAT analyzer returns beyond the metrics
 Cline::ag::AgWirePayloadOne agent's static description, in the wire form the worker expects
 Cline::ag::AgWorkerPoolThe connections to every configured worker, plus the agent partition
 Cline::mam::Amap2AdjustGammaResult< T >Result of amap2_adjust_gamma
 Cline::mam::Amap2FitGammaResult< T >Result of amap2_fit_gamma
 Cline::pfqn::AmvaResult< T >
 Cline::aoi::AoiLstResult< T >[meanAoI, lstAoI, peakAoI], mirroring jline.api.aoi.AoiLstResult
 Cline::fluid::AoiMeA matrix-exponential age law: P(age > t) = g exp(A t) h
 Cline::fluid::AoiParamsThe (tau, T) / (sigma, S) pairs and the preemption probability
 Cline::aoi::AoiPh< T >The (alpha, T) PH pair produced by aoi_dist2ph
 Cline::aoi::AoiResult< T >[meanAoI, varAoI, peakAoI], mirroring jline.api.aoi.AoiResult
 Cline::fluid::AoiSolutionBoth age laws of one system, with the policy parameter that produced them
 Cline::fluid::AoiTopologyWhat the AoI gate found, when it matches
 Cline::mam::Aph2AdjustOptResult< T >Result of an optimization-based APH(2) moment adjustment
 Cline::mam::Aph2AdjustResult< T >Result of aph2_adjust
 Cline::mam::Aph2FitResult< T >Result of aph2_fit
 Cline::mam::AphFitResult< T >Result of aph_fit
 Cline::mam::AphPair< T >A matrix-exponential law in (alpha, S) form: initial vector and subgenerator
 Cline::ApiEntry
 Cline::reg::ArgsNamed-argument reader over the parsed JSON object
 Cline::reg::ArithSpecThe arithmetic a call runs at: Real also carries the precision tier
 Cline::api::ArrivalRateFun< T >Lambda(t), with whether it actually varies and the cycle length
 Cline::sim::AsymVarResult< T >Second-order description of a steady-state estimator
 Cline::AugLagOptions< T >Tuning of the outer multiplier iteration
 Cline::AugLagResult< T >Outcome of a constrained solve
 Cline::autosolver::AutoChoiceWhat a ranking resolved to, and what it had to skip to get there
 Cline::autosolver::AutoEnvChoice
 Cline::autosolver::AutoLayeredChoice
 Cline::autosolver::AutoTokenresolveMethodToken, minus the unqualified-algorithm-name arm
 Cline::autosolver::AutoTraitsThe structural traits the rankings are keyed on
 Cline::mva::AvgResult< T >The metrics getAvg returns, after filtering
 Cline::AvgTablegetAvgTable, one row per (station, class) that carries a metric
 Cline::ba::BaBounds< T >Port of SolverBA.getBounds: the {lower,upper} bracket of a family
 Cline::qn::Station< T >::BalkingParamPer class; strategy == NONE is a class that declares no balking
 Cline::qn::Station< T >::BalkingThresholdOne balking threshold: with min_jobs <= n <= max_jobs at the station, an arriving job of the class refuses to join with probability
 Cline::ldes::engine::StationState::BalkRuleBalking: the (min, max, probability) triples an arrival consults
 Cline::ba::BaOptionsThe options SolverBA reads
 Cline::ba::BaSolution< T >Class-level results, the [Q,U,R,T,C,X] of solver_ba_analyzer
 Cline::wf::BenchmarkRowOne row of the benchmark table
 Cline::dqsys::Bernoulli1Result< T >Steady-state quantities of a finite-buffer Bernoulli server
 Cline::mam::BgchainCtmc< T >The solved background modulating chain
 Cline::mam::BgchainEnv< T >The environment one station sees: the background chain lumped onto its occupancy
 Cline::mam::BgchainStation< T >What one modulated station QBD returns
 Cline::mc::BicgstabMultiResult< T >
 Cline::mc::BicgstabResult< T >
 Cline::opt::BisectionSolver
 Cline::pfqn::BkLcResult< T >Return value of pfqn_bklc
 Cline::pfqn::BkResult< T >Return value of pfqn_bk, mirroring [G, lG, X, U, A, B]
 Cline::mc::BlkDecompResult< T >
 Cline::qsys::BmapM1Result< T >Everything qsys_bmapm1 returns, mirroring the MATLAB result struct
 Cline::mam::BmapMap1Blocks< T >The level blocks of solver_mam_bmap_map_1.m
 Cline::qsys::BmapPhNnRetrialOptionsOptions of qsys_bmapphnn_retrial
 Cline::qsys::BmapPhNnRetrialResult< T >Result of qsys_bmapphnn_retrial
 Cline::mam::BmapQueueResult< T >What both reference files return once the ETAQA solve has run
 Cline::npfqn::BndBgt< T >
 Cline::npfqn::BndBpt< T >
 Cline::lqn::BoolGraphA boolean sparse relation over element indices, e.g
 Cline::Bound< T >Box constraint on one variable
 Cline::BoundsTableSolverBA(model, method).getBoundsTable()
 Cline::ldes::engine::BpTargetOne measured target: a station set, optionally filtered to one class
 Cline::wf::BranchAlternative< T >One alternative of a branch: the node and its probability
 Cline::wf::BranchDiversity< T >Mirrors the Java calculateBranchDiversity map
 Cline::wf::BranchPattern< T >Mirrors the Java BranchPattern
 Cline::wf::BranchStats< T >Mirrors the Java getBranchStats map
 Cline::qn::BreakdownParam< T >Server breakdown and repair of a station whose server fails and is repaired
 Cline::mdd::MddLocalMatrix< T >::BuilderIncremental triplet builder; duplicate entries are accumulated
 Cline::pfqn::BusyPeriodResultWhat pfqn_busyp returns: the durations and the two constant sequences
 Cline::ldes::engine::BusyPeriodsThe busy-period tracker of one run
 Cline::ldes::LdesResult::BusyPeriodTargetOne measured busy period target (–busyperiod): a station, a station-class pair, or a declared station set
 Cline::api::CacheActualProb< T >The converged cache split, per ORIGINAL class of one Cache node
 Cline::env::CacheBlendResult< T >A mean-field solve, with the compression that produced it
 Cline::cache::CacheBlockedPairOne (item, list, blocking list) triple, all 0-based
 Cline::cache::CacheGammaGraphResult< T >Return value of cache_gamma, mirroring the JAR's Ret.cacheGamma
 Cline::cache::CacheGammaResult< T >Return value of cache_gamma_lp, mirroring [gamma,u,n,h]
 Cline::da::CacheIsolateResult< T >Return value of da_cache_isolate, mirroring [gamma,lambda_cache,Rcost]
 Cline::cache::CacheIsResult< T >
 Cline::cache::CacheLrumMapLevelStats< T >Per-item level statistics, MATLAB's [prob, occ, hitfrac]
 Cline::solvers::CacheMetrics< T >Every Cache node of the model, in node order; empty on a model with none
 Cline::cache::CacheMissIsResult< T >
 Cline::cache::CacheMissResult< T >Return value of cache_miss, mirroring [M,MU,MI,pi0]
 Cline::cache::CacheMissRmfResult< T >Return value of cache_miss_rmf, mirroring [M,MU,MI,pi0,tout,pi0_t,MU_t,xtraj]
 Cline::cache::CacheMissSpmResult< T >Return value of cache_miss_spm, mirroring [M,MU,MI,pi0,lE]
 Cline::cache::CacheMvaMissResult< T >Return value of cache_mva_miss, mirroring [M,Mk]
 Cline::cache::CacheMvaResult< T >Return value of cache_mva, mirroring [pi,pi0,pij,x,u,E]
 Cline::solvers::CacheNodeMetrics< T >One Cache node's measured behaviour
 Cline::da::CacheParam< T >The fields of sn.nodeparam{cache} that da_cache_isolate reads
 Cline::qn::CacheParam< T >
 Cline::da::CacheqnInfo< T >The converged isolated-cache inputs, kept for per-item occupancy reporting
 Cline::da::CacheqnResult< T >
 Cline::da::CacheqnRetrievalResult< T >What the delayed-hit decomposition returns
 Cline::mva::CacheResult< T >What the cache analyzer reports beyond the [Q,U,R,T] block
 Cline::cache::CacheRmfExpansionTransient< T >Result of cache_miss_rmf_expansion_transient
 Cline::cache::CacheRrmMeanfieldResult< T >Return value of cache_rrm_meanfield
 Cline::cache::CacheSpmResult< T >Return value of cache_spm, mirroring [Z,lZ,xi]
 Cline::cache::CacheSpmSizeResult< T >Outcome of the expansion
 Cline::ldes::engine::CacheStateLive state of one Cache node
 Cline::cache::CacheTtlLrumMapResult< T >Request-weighted and time-stationary level probabilities
 Cline::cache::CacheXiFpResult< T >Return value of cache_xi_fp, mirroring [xi,pi0,pij,it]
 Cline::pfqn::CbhBounds< T >Return value of pfqn_cbh, mirroring [Xlo, Xhi]
 Cline::CdfCurveOne response-time CDF curve: F the CDF value, t the time it is reached
 Cline::ctmc::CdfCurve< T >A CDF as the reference returns it: the value at each point of the time grid
 Cline::nc::CdfRespTResult< T >The response-time distributions, station by class
 Cline::pfqn::CftpResult< T >Return value of pfqn_cftp, mirroring [Q, X, T]
 Cline::api::ChainAggregationDeagg< T >Everything needed to map a chain-level result back onto the classes
 Cline::api::ChainAggregationResult< T >What sn_aggregate_chains returns
 Cline::mva::ChainDemands< T >The chain-level view of a layer, as sn_get_demands_chain returns it
 Cline::lang::processes::ChainPath< T >A sampled path: the states visited, with their holding times for a CTMC
 Cline::solvers::ChainResult< T >The station- or node-level table aggregated by chain
 Cline::io::CitationOne bibliography entry
 Cline::mva::ClassResults< T >Class-level results, as sn_deaggregate_chain_results returns them
 Cline::sum::ClosingOptionsClosing controls; Kclosed is the population given to the open classes
 Cline::fluid::ClosureValueA closure's value and its first two derivatives with respect to the first mean
 Cline::pfqn::ClwOptionsOptional lattice and aliasing parameters; empty means "use the CLW defaults"
 Cline::pfqn::ClwResult< T >Return value of pfqn_clw and pfqn_clw_lld, mirroring [G, lG]
 Cline::mam::iltcme::CmeEntryOne CME entry, carrying only the fields matlab_ilt reads
 Cline::mam::CmeRepresentation< T >The unit-mean (alpha, A) form of a CME, with the SCV it attains
 Cline::pfqn::ComomResult< T >
 Cline::pfqn::ComomRmResult< T >
 Cline::wf::ComplexityReport< T >The complexity report, one band per pattern family plus the overall score
 Cline::infer::ConditionEvent
Cline::opt::Constraint
 Cline::ldes::engine::ConvergenceConvergence-based stopping: batch the four metrics and stop once EVERY active (station, class) pair has reached the requested relative precision
 Cline::mc::CourtoisResult< T >
 Cline::mam::CQbdFundMatG and R of a QBD whose local block is complex
 Cline::ctmc::CtmcAnySolution< T >A CTMC solve routed to whichever path the model's region rules require
 Cline::ctmc::CtmcAvg< T >The mean performance metrics a stationary vector maps to
 Cline::ctmc::CtmcCftpOptionsThe knobs of one perfect-sampling run
 Cline::ctmc::CtmcCftpSolution< T >What one cftp solve produces beside the means
 Cline::ctmc::CtmcChainSolution< T >
 Cline::ctmc::CtmcChainTransientSolution< T >
 Cline::ctmc::CtmcFirstPassageThe answer of @@SolverCTMC/getCdfFirstPassT.m: the [F(t), t] curve with its grid, density and resolved state sets
 Cline::ctmc::CtmcFirstPassageMoments< T >The answer of @@SolverCTMC/getFirstPassTMoments.m
 Cline::mc::CtmcGateResultThe gate verdict, plus the message the caller reports either way
 Cline::ctmc::CtmcGenerator< T >[infGen, eventFilt, ev] of @@SolverCTMC/getGenerator.m
 Cline::ctmc::CtmcMddSolution< T >What one mdd solve produces beside the means, i.e
 Cline::ctmc::CtmcOptionsThe SolverCTMC knobs this port honours
 Cline::mc::CtmcPath< T >One simulated sample path: the state visited at each step and its holding time
 Cline::ctmc::CtmcResult< T >The generator, the state space it is indexed by, and the event rates
 Cline::ctmc::CtmcReward< T >What the reward analyzer produces, per declared reward
 Cline::ctmc::CtmcSamplePath< T >One sampled trajectory of the chain
 Cline::ctmc::CtmcSens< T >What one sensitivity computation returns
 Cline::ctmc::CtmcSensParam< T >The scalar parameter a sensitivity is taken with respect to
 Cline::ctmc::CtmcSensRank< T >One row of the ranking table
 Cline::mc::CtmcSizeOptionsOptions the estimator reads; only the cutoff matters
 Cline::ctmc::CtmcSolution< T >Everything one CTMC solve produces
 Cline::sym::CtmcSolutionSymbolic stationary distribution of a CTMC
 Cline::ctmc::CtmcStateSpace< T >[stateSpace, localStateSpace] of @@SolverCTMC/getStateSpace.m
 Cline::ctmc::CtmcStationaryResult< T >
 Cline::ctmc::CtmcSymbolicGenerator< T >The outputs of @@SolverCTMC/getSymbolicGenerator
 Cline::ctmc::CtmcSymbolicOptionsBackend selection, mirroring options.config.symbolic and its timeout
 Cline::ctmc::CtmcSymbolicSolution< T >What @@SolverCTMC/getSymbolicSolution.m returns, plus the engine that answered
 Cline::ctmc::CtmcTranProb< T >The time-dependent answer of one getTranProb* query
 Cline::ctmc::CtmcTransient< T >What one transient CTMC solve produces
 Cline::pfqn::CubResult< T >Return value of pfqn_cub, mirroring [Gn, lGn]
 Cline::pfqn::CycletPathInfoOne path's outcome: which route ran, and the network constant it used
 Cline::pfqn::CycletResultDensity, distribution and moments of the passage time along a path
 Cline::pfqn::DacResult< T >Return value of pfqn_dac, mirroring [Pjoint, states, XN, QN, UN, CN, pi]
Cline::opt::DecisionVariable
 Cline::opt::DecompositionWorkflow
 Cline::solvers::DefaultCdfCurveOne [F(t), t] curve of the base-class response-time CDF fallback
 Cline::wf::DetectedPatterns< T >Everything the four detectors found
 Cline::opt::de::DifferentialEvolution
 Cline::opt::de::DifferentialEvolutionResult
 Cline::fluid::DiffusionOptionsControls of the Euler-Maruyama trajectory
 Cline::fluid::DiffusionResultTime-averaged queue lengths of the diffusion trajectory
 Cline::api::DiscreteTimeInfoWhich laws the model carries, and why it was refused when it was
 Cline::api::DiscreteTimeOptionsHow the caller may override the automatic decision
 Cline::mva::DispatchResult< T >What the dispatch returns: the metrics plus the algorithm that produced them
 Cline::api::lqn::Distrib< T >
 Cline::io::Distrib< T >
 Cline::lang::Distrib< T >
 Cline::ln::Distrib< T >
 Cline::lqn::Distrib< T >
 Cline::mva::Distrib< T >
 Cline::qn::Distrib< T >
 Cline::workflow::Distrib< T >
 Cline::mam::Dmap< T >A discrete-time MAP: substochastic D0 (no arrival) and D1 (one arrival)
 Cline::qsys::DmcResult< T >
 Cline::pfqn::DncResult< T >Normalizing constant and throughput at a real-valued population
 Cline::mam::Dph< T >A discrete phase-type law: initial row vector alpha and transient A
 Cline::npfqn::DpsMorrisonResult< T >Mean queue lengths, sojourn times and throughputs, with Morrison's intermediate constants
 Cline::smc::DriftThe drift of an M/G/1-type sequence, and the invariant vector it uses
 Cline::nc::DtModel< T >Classification of a model against the discrete-time product form
 Cline::dpfqn::DtNcLdResult< T >Constants of the state dependent cycle, in one common scale
 Cline::dpfqn::DtNcResult< T >Constants of the state independent cycle, in one common scale
 Cline::mam::DtQueueResult< T >Outcome of a slotted station solve
 Cline::infer::EkfOptions< T >MATLAB's OPTIONS struct, with the same defaults infer_lqn_optget supplies
 Cline::infer::EkfResult< T >MATLAB's [ahat, info] return list
 Cline::xml::Element
 Cline::ssa::EnabledEvent< T >One transition the enabled scan found: where it goes, and at what rate
 Cline::reg::EncodeScalar< T >
 Cline::reg::EncodeScalar< double >
 Cline::reg::EncodeScalar< Rational >
 Cline::reg::EncodeScalar< Real< D > >
 Cline::api::lqn::EntryWorkflow< T >Activity graph of one entry, as a workflow plus its execution counts
 Cline::snc::EnvThe pair (sigma, rho) of an envelope evaluated at one theta
 Cline::env::EnvAnalyzerSolution< T >What the ENV entry reports: the environment-blended metrics, and the whole result of whichever coupling produced them
 Cline::env::EnvArc< T >One arc of the environment process
 Cline::env::EnvCompression< T >Everything applyCompression computes, plus the compressed environment
 Cline::env::EnvCompressOptionsThe knobs applyCompression reads out of options.config
 Cline::env::EnvDecomp< T >What SolverENV.ctmc_decompose returns: [p, eps, epsMax, q]
 Cline::env::Environment< T >
 Cline::env::EnvLimitSolutionWhat a limit solve reports
 Cline::env::EnvMeanfieldSolution< T >
 Cline::env::EnvOptionsOptions of SolverENV
 Cline::env::EnvSolutionWhat SolverENV reports
 Cline::env::EnvStage< T >One stage: a name, a category, and the model in force while it lasts
 Cline::env::EnvStatevecOptions< T >Options of the state-vector coupling
 Cline::env::EnvStatevecSolution< T >What the state-vector coupling reports
 Cline::lossn::ErlangFpResult< T >
 Cline::infer::EstimatorOptions
 Cline::opt::EvaluationResult
 Cline::ldes::engine::EventOne scheduled event
 Cline::ldes::engine::EventLaterLater-is-greater, so the priority queue pops the earliest event
 Cline::ctmc::EventOutcome< T >What one event produces at one node: the successor rows, their rates and their probabilities, all three the same length
 Cline::qn::EventOutcome< T >What one event produces at one node: the successor rows, their rates and their probabilities, all three the same length
 Cline::io::ExactValueAn exact scalar as it crosses to a host without a rational type: the two decimal integer strings, plus the double a host can use directly
Cstd::exceptionSTL class
 Cline::pfqn::ExpandResult< T >Return value of pfqn_expand, mirroring [QN_full,UN_full,CN_full]
 Cline::fluid::ExpansionWeightHow much of the second-order correction the series admits, and d tau / d ratio
 Cline::wf::ExpectedIterations< T >1/(1-p), with the p >= 1 divergence reported rather than encoded
 Cline::pfqn::ExplicitResult< T >Return value of pfqn_explicit, mirroring [lG, G, method, lossDigits]
 Cline::wf::ExtendedSolverRecommendation< T >What the recommendation returns: the choice and why
 Cline::mc::FauResult< T >
 Cline::qn::FeatureSetA subset of the registry: MATLAB's SolverFeatureSet, whose list is a flag per field
 Cline::npfqn::FeedbackElimResult< T >Outcome of the feedback elimination
 Cline::fes::FesAggregateResult< T >What fes_aggregate returns
 Cline::fes::FesConditionalMetrics< T >The per-population tables the conditional sum is taken over
 Cline::fes::FesDeaggInfo< T >Everything needed to map an FES result back onto the original model
 Cline::fes::FesIsolated< T >Demands and visit ratios of the isolated subnetwork
 Cline::fes::FesMapAggregateResult< T >The load-dependent MAP that replaces a subnetwork, with its descriptors
 Cline::fes::FesMapDeaggregateResult< T >Per-station metrics an aggregate stands for
 Cline::fes::FesMapMoments< T >Descriptors a MAP(2) is fitted against
 Cline::fes::FesMapSolveResult< T >System metrics of the delay plus flow-equivalent server model
 Cline::fes::FesOptionsoptions of the reference; the solver field is implied by the convolution
 Cline::fes::FesValidateResultThe reference's (isValid, errorMsg) pair
 Cline::fj::FJAmvaResult< T >[R, Q, X, U] of fj_amva
 Cline::fj::FJBoundsResult< T >[Rmax, Rmin] of fj_bounds: pessimistic and optimistic response-time bounds
 Cline::fj::FJCharMaxBlomResult< T >[mK, lo, hi] of fj_char_max_blom; lo and hi are NaN below K = 5
 Cline::fj::FJCharMaxDiscreteResult< T >[MK, mK, exact] of fj_char_max_discrete
 Cline::fj::FJCharMaxResult< T >[MK, mK] of fj_char_max: characteristic maximum and its threshold
 Cline::fj::FjCodesGenServicegenerateService.m: the service process seen by a tagged job
 Cline::fj::FjCodesPercentilesOne line of mainFJ's output cell: the percentiles of a K-node queue
 Cline::fj::FjCodesPiWhat computePi.m returns
 Cline::fj::FjCodesRT2What returnRT2.m produces, plus the waiting-time law it discards
 Cline::fj::FjCodesSAbuild_SA.m: the level-constant generator and the head-of-line jump
 Cline::fj::FjCodesServiceHbuild_Service_h.m: the two-subtask phase process of one fork-join job
 Cline::fj::FjCodesSRKconstructSRK.m: the extended generator and the busy/idle projectors
 Cline::fj::FjCodesTWhat computeT.m returns
 Cline::fj::FjCodesWaitWhat returnWait.m returns: the waiting time as a phase-type law
 Cline::fj::FJCoxFitResult< T >[mu1, mu2, q, kmin, kmax] of fj_cox_fit
 Cline::fj::FJDagMakespanResult< T >[C, I, Cend, E] of fj_dag_makespan
 Cline::fj::FJDelayOptResult< T >[d, Edisp, Emax] of fj_delay_opt
 Cline::fj::FJDispersionResult< T >[Edisp, Emax, Emin] of fj_dispersion
 Cline::fj::FjDist< T >Descriptor of an arrival or a service process
 Cline::fj::FJGKBoundResult< T >All four G(K) factors of fj_gk_bound in its 'all' mode
 Cline::fj::FJIsmGreenResult< T >Everything Green's cycle decomposition produces
 Cline::qn::FjJoinParamsn.nodeparam{j}.fj: what a Join node needs to fire on identity
 Cline::mva::FjMmt< T >The transformed layer and the bookkeeping the fixed point needs to drive it and to merge its results back
 Cline::fj::FJOrderStatResult< T >[F_Yk, E_Yk] of fj_order_stat
 Cline::fj::FJQgbResult< T >[Q, y] of fj_qgb: the bounded queue lengths and the geometric ratios
 Cline::fj::FJQuorumMomentsResult< T >[m, v] of fj_quorum_moments: mean and variance of the k-of-n join time
 Cline::fj::FJResptBulkResult< T >[Rreq, Rtask, Q, p] of fj_respt_bulk
 Cline::fj::FJResptClosedResult< T >[R, exact] of fj_respt_closed
 Cline::fj::FJResptNosplitResult< T >[R, rho] of fj_respt_nosplit
 Cline::fj::FJSerializationResult< T >[P, delay, Rtot] of fj_serialization
 Cline::api::FjSpnStructureWhat the auxiliary construction found, for one class
 Cline::qn::FjSync< T >One fork firing synchronization: sn.fjsync{k}
 Cline::mam::FjSyncMapsn_build_fj_sync_map: which incoming flows at a Join must be synchronized
 Cline::qn::FjTagged< T >The augmented struct and everything needed to read its results back
 Cline::fj::FJTsmCapacityResult< T >[Lmax, Llp, Lfcfs, states, prob] of fj_tsm_capacity
 Cline::fj::FJXmaxApproxResult< T >[Xmax, GK] of fj_xmax_approx
 Cline::fj::FJXmaxCoxianResult< T >[Xmax, m1, c2] of fj_xmax_coxian
 Cline::fj::FJXmaxHzResult< T >[Xmax, resid] of fj_xmax_hz
 Cline::fj::FJXmaxNormalResult< T >[Xmax, Vmax] of fj_xmax_normal
 Cline::fj::FJXmaxParetoResult< T >[Xmax, MK] of fj_xmax_pareto
 Cline::fluid::FluidAoiResultWhat the AoI branch of mfq returns: the age laws and the metrics beside them
 Cline::fluid::FluidCacheqnSolution< T >What the steady analyzer returns: the fluid metrics plus the converged split
 Cline::fluid::FluidCacheqnTranCache< T >One cache's transient, the per-cache slice of the reference's 3-D outputs
 Cline::fluid::FluidClosureThe second moment the drift closes its non-linear terms with, i.e
 Cline::fluid::FluidDaeConservationPopulation conservation, one row per CLOSED chain, in state space
 Cline::fluid::FluidDaeConstraintsFinite capacity regions as linear admission constraints on the fluid state
 Cline::fluid::FluidDaeGatesWhich events each cap throttles, and what happens to the mass it stops
 Cline::fluid::FluidDaeLegsThe two legs of every event under the active caps, and the waiting rooms
 Cline::fluid::FluidDaeNewtonInfoWhat the Newton reports about where it stopped
 Cline::fluid::FluidDaeOptionsOptions that only the DAE route reads
 Cline::fluid::FluidDaeStagingThe waiting room outside a capped region, as fluid coordinates
 Cline::fluid::FluidDaeSwitchWhat a hybrid transient did, beside the trajectory
 Cline::fluid::FluidDaeSystemEverything the residual needs, gathered so the Newton can stay generic
 Cline::fluid::FluidEventOne event of the drift
 Cline::mam::FluidFundamental< T >Psi, K and U of a fluid queue with drifts normalized to +-1
 Cline::fluid::FluidImmediateMatrix< T >What the matrix-level elimination produced
 Cline::fluid::FluidImmediateResultWhat an elimination attempt produced
 Cline::fluid::FluidJacobianThe four outputs of @@SolverFLD/getJacobian
 Cline::fluid::FluidKpTransientThe transient the covariance equation produces, i.e
 Cline::fluid::FluidLayoutWhere each (station, class) block sits in the state vector
 Cline::fluid::FluidLyapunovInfoThe reference's MException('LINE:FluidNonHyperbolic'), as a type
 Cline::fluid::FluidMatrixSystemThe assembled matrix-form drift and the maps that read metrics off it
 Cline::fluid::FluidMomentReportThe second-order results of the moment-closure methods, i.e
 Cline::fluid::FluidMomentTermsPort of fluid_moment_terms.m: the event representation of the fluid population process, plus the drift, rate and Jacobian handles the covariance equation needs
 Cline::sym::FluidODEsSymbolic analysis of a fluid vector field
 Cline::fluid::FluidOdeSystem
 Cline::fluid::FluidOptionsControls, defaulting to SolverOptions('Fluid') in the reference
 Cline::fluid::FluidPassageThe response-time CDF of one (station, class), sampled on a grid
 Cline::mam::FluidPrioOptionsWhich measures to compute, and the numerical options
 Cline::mam::FluidPrioResultOne entry per analyzed class, in the order given by FluidPrioOptions::classes
 Cline::fluid::FluidRateMultThe assembled drift: the layout, the events, and the per-station schedule
 Cline::fluid::FluidRefineInfoWhat fluid_refine_meanfield reports about the correction it computed
 Cline::api::FluidRtLikelihoodWhat the fluid likelihood call reports
 Cline::fluid::FluidSolutionWhat the analyzer returns, in the same shape as the MVA solver's result
 Cline::fluid::FluidStateDepSystemEverything the state-dependent drifts read, lowered once to doubles
 Cline::fluid::FluidStiffOptionsControls for the stiff arm
 Cline::fluid::FluidSymbolicDriftThe drift as expression strings, one per state variable, plus their names
 Cline::fluid::FluidSymbolicJacobianWhat @@SolverFLD/getJacobian returns: d f_i / d x_j as expression strings
 Cline::fluid::FluidSymbolicOptionsBackend selection, mirroring options.config.symbolic and its timeout
 Cline::fluid::FluidSymSystemThe symbolic system, in whichever of the two forms the method implies
 Cline::fluid::FluidTranPointOne point of a transient trajectory: the metrics at time t
 Cline::pfqn::FncResult< T >Return value of pfqn_fnc, mirroring [mu, c]
 Cline::qn::ForkParam< T >Variable forking levels, the twin of MATLAB sn.nodeparam{f}.fanOutLink / .fanOutProb / .fanOutDist
 Cline::mva::FjMmt< T >::ForkRecOne record per Fork of the base layer, ascending in node index
 Cline::fj::ForkTailResult< T >Mirrors MATLAB's [xp, alpha, beta] return list
 Cline::mc::FoxGlynnResult< T >
 Cline::da::FpiOptionsOptions mirroring the fields MATLAB reads off the options struct
 Cline::retrieval::FpiOptionsOptions mirroring the trailing (max_iter, tol) arguments of the MATLAB function
 Cline::da::FpiResult< T >
 Cline::me::GegecnResult< T >What me_gegecn returns: the law and the four means read off it
 Cline::mam::GeneralFluidSolution< T >Stationary matrix-exponential solution of a general Markovian fluid model
 Cline::dqsys::GeoGeo1Result< T >
 Cline::dqsys::GeoXGeo1Result< T >
 Cline::infer::GibbsOptionsMATLAB's hard-coded budgets, exposed with their MATLAB values as defaults
 Cline::infer::GibbsSlice< T >The deterministic content of one coordinate update
 Cline::infer::GibbsStateProbs< T >The empirical state distribution built from the traces
 Cline::infer::GibbsTrace< T >One class's trace
 Cline::qsys::Gig1ExtremalResult< T >The bounds, all as TIMES IN QUEUE: add 1/mu for a response time
 Cline::qsys::Gig1RqResult< T >
 Cline::qsys::GigkRqtResult< T >
 Cline::api::lqn::GlobalConstantsThe MATLAB GlobalConstants, as reported by lineStart at its defaults
 Cline::ba::GlobalConstantsThe MATLAB GlobalConstants, as reported by lineStart at its defaults
 Cline::ctmc::GlobalConstantsThe MATLAB GlobalConstants, as reported by lineStart at its defaults
 Cline::lang::GlobalConstantsThe MATLAB GlobalConstants, as reported by lineStart at its defaults
 Cline::ln::GlobalConstantsThe MATLAB GlobalConstants, as reported by lineStart at its defaults
 Cline::mam::GlobalConstantsThe MATLAB GlobalConstants, as reported by lineStart at its defaults
 Cline::mva::GlobalConstantsThe MATLAB GlobalConstants, as reported by lineStart at its defaults
 Cline::nc::GlobalConstantsThe MATLAB GlobalConstants, as reported by lineStart at its defaults
 Cline::qn::GlobalConstantsThe MATLAB GlobalConstants, as reported by lineStart at its defaults
 Cline::workflow::GlobalConstantsThe MATLAB GlobalConstants, as reported by lineStart at its defaults
 Cline::qn::GlobalOutcome< T >What one global event produces: a whole network state per outcome
 Cline::qn::GlobalSync< T >A GLOBAL synchronization: an SPN mode event and the place arcs it drives
 Cline::mc::GmresMultiResult< T >
 Cline::mc::GmresResult< T >
 Cline::pfqn::HarelBoundsResult< T >Return value of pfqn_harel_bounds, mirroring Ret.pfqnHarelBounds
 Cline::ldes::engine::CacheState::HeldRequestA request parked while its item was being fetched
 Cline::pfqn::HstResult< T >Everything the HST certificate reports about one station
 Cline::perm::HuberLawSamplerHuber-Law acceptance-rejection sampler for the permanent
 Cline::mam::HyperexpLongtailResult< T >Outcome of the long-tail hyperexponential fit
 Cline::mam::HyperParams< T >Rates and branch probabilities of a hyperexponential given as a MAP
 Cline::infer::InferLqnOptions< T >MATLAB's OPTIONS struct for infer_lqn, with the same defaults the infer_lqn_optget calls supply
 Cline::infer::InferLqnResult< T >MATLAB's INFO struct: the EKF result plus what the driver constructed
 Cline::infer::JacobianResult< T >Mirrors the [H, h0] return list of the MATLAB function
 Cline::rng::JavaRandomjava.util.Random, the 48-bit LCG of the Java Language Specification
 Cline::io::JmtDistView< T >The (D0, D1) pair a JMT MAP or phase-type parameter block is built from, plus the moments the analytic families are reconstructed from
 Cline::jmt::JmtEventOne logged event: when, of which kind, in which class, for which job
 Cline::jmt::JmtLogFileOne arrival or departure CSV file, as three parallel columns
 Cline::jmt::JmtMeasureOne <measure> of a JMT result document, by its attributes
 Cline::jmt::JmtNodeTrace< T >The per-class queue-length trajectory of one node, plus its event stream
 Cline::jmt::JmtOptionsThe options of one JMT solve, SolverOptions('JMT') restricted to what is read
 Cline::jmt::JmtProbAggrWhat jmt_prob_aggr reports: the system probability and the per-station ones
 Cline::jmt::JmtReplication< T >Transient averages over independent replications, on one time grid
 Cline::jmt::JmtResult< T >The result of a JMT solve: the shared AvgResult plus what only JMT reports
 Cline::io::JmtSections< T >The three JMT section class names of a node: input, server, output
 Cline::jmt::JmtSysTrace< T >The system trajectory: one per-class block per station, on a common grid
 Cline::io::JmtWriteOptionsThe simulation controls the JSIM header carries, MATLAB's JMTIO properties
 Cline::io::JmtWriter< T >The writer itself
 Cline::ldes::engine::JobA job held by a station
Cline::JobClassA job class: the index it was given, and the model that owns it
 Cline::qn::JobClassOne job class of the network
 Cline::ctmc::NetworkStruct< T >::JoinDeclThe DECLARED join rule of a Join node, by 1-based node index
 Cline::qn::NetworkStruct< T >::JoinDeclThe DECLARED join rule of a Join node, by 1-based node index
 Cline::qn::RoutingMatrix< T >::Key
 Cline::mc::KmsResult< T >
 Cline::fluid::KpBlockOne (station, class) block of the Ko-Pender state vector
 Cline::fluid::KpEvent
 Cline::pfqn::KtResult< T >Return value of pfqn_kt, mirroring [G, lG, X, Q]
 Cline::pfqn::LaplaceResult< T >Return value of laplaceapprox, mirroring [I, H, logI]
 Cline::ln::LayerResult< T >Per-layer results of one iteration, the [QN,UN,RN,TN,AN,WN] of getAvg
 Cline::opt::LayerSensitivity
 Cline::pfqn::LcfsMvaResult< T >
 Cline::pfqn::LcfsQnResult< T >
 Cline::mc::LcgUniformDeterministic uniform [0,1) source, so that a caller who does not have one still has no reason to reach for a global stream
 Cline::pfqn::LdBcmpBound< T >Return value of pfqn_ldbcmp, mirroring [Xlo, Rhi, Qhat]
 Cline::ldes::LdesCacheMetricsPer-cache hit/miss/latency, as the cacheMetrics block carries them
 Cline::ldes::LdesOptionsThe knobs of one LDES run
 Cline::ldes::LdesResultOne ldes-result document, parsed
 Cline::ldes::LdesRunnerOne runner: the argv prefix that runs the engine, and the name of its image
 Cline::ldes::LdesStateQueryOne constraint of a joint-state query: a station and the per-class job counts it is required to hold
 Cline::pfqn::LdmxEcResult< T >
 Cline::qsys::LdpsWorkloadResult< T >Return value of qsys_ldps_workload, mirroring the three MATLAB outputs
 Cline::mam::LdqbdAvg< T >Per-(station,class) means read off an arbitrary distribution over the LD-QBD
 Cline::mam::LdqbdBlocks< T >The LD-QBD blocks and parameters, the reference's optional eighth output
 Cline::mam::LdqbdFlat< T >The flat generator of an LD-QBD, with the level each flat state belongs to
 Cline::mam::LdqbdMphcBlocks< T >The three block lists of a level-dependent QBD, as ldqbd takes them
 Cline::mam::LdqbdPi< T >Stationary distribution of a level-dependent QBD, per level and per phase
 Cline::mam::LdqbdResult< T >R and the stationary distribution together (ldqbd.m)
 Cline::mam::LdqbdSolution< T >What the analyzer returns: the metrics plus the blocks it built them from
 Cline::pfqn::LektResult< T >Return value of pfqn_lekt, mirroring [Gn, lGn, route]
 Cline::pfqn::LeResult< T >Return value of pfqn_le, mirroring [Gn, lGn]
 Cline::mam::LevelDependentFluidBlocks< T >The matrix-exponential building blocks of a multi-regime fluid queue, the output of mfq_ld_solve
 Cline::LevmarOptions< T >Tuning of the Levenberg-Marquardt iteration
 Cline::LevmarResult< T >Outcome of a least-squares solve
 Cline::mam::LibQbdProcess< T >A QBD's level blocks, as libQBD's QBD class holds them
 Cline::qsys::LindleyResult< T >Mirrors the struct MATLAB returns from qsys_mm1_lindley
 Cline::pfqn::LinearizerResult< T >Return value of the Linearizer family, mirroring [Q,U,W,C,X,totiter]
 Cline::util::LineConsole
 Cline::opt::LineEvaluator
 Cline::opt::LineOptSolver
 Cline::opt::LineOptSolverOptions
 Cline::ln::LnCdfA CDF sampled on a grid, the [F, t] pair MATLAB's evalCDF returns
 Cline::ldes::engine::LnEntryCdfOne entry's empirical response-time CDF: F[j] = P(R <= t[j])
 Cline::ldes::engine::LnEventOne scheduled event of the layered engine
 Cline::ldes::engine::LnEventLater
 Cline::ldes::engine::LnJobOne in-flight request: a reference-task job somewhere in its call tree
 Cline::ln::LnLayerBlocksLayeredNetwork.layerBlocks: where each layer's block sits in the aggregate
 Cline::ln::LnOptionsOptions of SolverLN
 Cline::ldes::engine::LnResultThe layered result: per element, the mean measures
 Cline::ln::LnSensTable< T >GetSensitivityTable of the ensemble: the layer tables under a Layer column
 Cline::ln::LnSolution< T >The LQN-level answer, indexed by element 1..nidx
 Cline::ln::LnStochConfigoptions.config.stochiter_* of SolverOptions.m, with its defaults
 Cline::ln::LnStochController< T >Convergence controller for an ensemble whose layers are solved by a NOISY method (simulation, or Monte Carlo normalizing constants)
 Cline::ln::LnTranLayerOne layer's block of the layered transient
 Cline::ln::LnTranSolutionThe layered transient: one block per layer, plus how it was produced
 Cline::qn::NodeDef::LoggerParamA Logger node's trace configuration, MATLAB's Logger properties and sn.nodeparam{ind} for a Logger
 Cline::pfqn::LoopingBounds< T >Return value of pfqn_looping: the throughput bracket plus its queue lengths
 Cline::wf::LoopStats< T >Mirrors the Java getLoopStats map
 Cline::lossn::LossnManjunathOptionsControls of lossn_manjunath
 Cline::lossn::LossnManjunathResult< T >Result of lossn_manjunath
 Cline::lossn::LossnMciOptions< T >Options of lossn_mci, MATLAB's options struct
 Cline::lossn::LossnMciResult< T >Result of lossn_mci
 Cline::lossn::LossnRecResult< T >Carried load, blocking, log normalising constant and walk count
 Cline::lp::LpModel< T >Sparse LP in the natural form, with per-variable bounds
 Cline::lp::LpSolution< T >
 Cline::lqn::LqnBoxBounds< T >What lqn_boxbounds returns, in the layout of the reference's out struct
 Cline::fj::LqnBranchView< T >The four LayeredNetworkStruct fields fj_branch_members reads
 Cline::lqn::LqnBuilder< T >
 Cline::ln::LqnCallGroupOne routed call group: an activity, the strategy that picks among its targets, and the target ENTRIES in declaration order
 Cline::lqn::LqnCallGroupOne routed call group: an activity, the strategy that picks among its targets, and the target ENTRIES in declaration order
 Cline::infer::LqnMetrics< T >Per-element metric vectors, each aligned with the element name list
 Cline::lqn::LqnModel< T >The intermediate model, and the second stage that flattens it
 Cline::lqn::LqnMolInfo< T >Everything lqn_mol reports beyond the four measure vectors
 Cline::lqn::LqnMolOptionsTuning of the outer fixed point
 Cline::lqn::LqnMolResult< T >The four (nidx+1) vectors in the column convention SolverLN and LQNS report, so they line up with LN(model).getAvgTable cell for cell
 Cline::infer::LqnObsSpecOne row of MATLAB's OBSSPEC struct array
 Cline::infer::LqnParamSpecOne row of MATLAB's PARAMSPEC struct array
 Cline::lqn::LqnPrecedence< T >One activity precedence of a task, with its activities resolved to indices
 Cline::lqns::LqnsOptionsKnobs of the wrapper, the subset of SolverOptions that reaches lqns
 Cline::lqns::LqnsRawAvgEverything the .lqxo carries, indexed as the struct is
 Cline::lqns::LqnsSolution< T >The six measures, on the element index space, with a defined mask each
 Cline::ln::LqnStruct< T >
 Cline::lqn::LqnStruct< T >
 Cline::lqn::LqnWriteReportWhat the schema could not carry, one human-readable line per loss
 Cline::mapqn::LrMvaIndexVariable layout: UN, then QN, then B, in the reference's declaration order
 Cline::mapqn::LrMvaParams< T >Parameters of the MVA-shaped LR bound, mirroring the reference's params
 Cline::mapqn::LrPfParams< T >Product-form parameters of the LR bound, mirroring MATLAB's params
 Cline::mapqn::LrPfResult< T >Return value of mapqn_bnd_lr_pf, mirroring the MATLAB result struct
 Cline::lsn::LsnInput< T >The plain-data fields of a layered software network read by the algorithm
 Cline::LsodaOptionsIntegration controls
 Cline::LsodaSolutionResult of an integration, mirroring OdeSolution in ode.h
 Cline::LsodaStepperOne internal step at a time: ODEPACK's itask = 2
 Cline::pfqn::LsResult< T >Return value of pfqn_ls, mirroring [Gn, lGn]
 Cline::LstsqResult< T >Outcome of lstsq: the solution and whether the system was rank deficient
 Cline::mam::M3pp22FitcCovResult< T >Result of the covariance-matching M3PP(2, 2) fits
 Cline::mam::M3pp22InterleaveResult< T >Result of m3pp22_interleave_fitc
 Cline::mam::M3pp2mFitcApproxResult< T >Result of the optimization-based M3PP(2, m) fits
 Cline::mam::M3pp2mFitcResult< T >Result of m3pp2m_fitc
 Cline::mam::M3pp2mFitcTraceResult< T >Result of m3pp2m_fitc_trace
 Cline::mam::M3ppSuperposResult< T >Result of the superposition fits
 Cline::mam::Mamap22FitResult< T >The fitted MAMAP(2,2), what it achieved, and whether the fit was exact
 Cline::mam::Mamap22FsFitResult< T >The forward-plus-sigma result; warning carries the reference's diagnostic
 Cline::mam::Mamap2mCoefficients< T >The three coefficient tables of one canonical form
 Cline::mam::Mamap2mFitResult< T >The fitted MAMAP and the moments it achieved
 Cline::mam::MamFjInfoWhat fj_is_homogeneous.m returns: the fork-join pair, or why there is none
 Cline::mam::MamFjParams< T >What fj_extract_params.m returns: one arrival and one service per class
 Cline::mam::MamOptionsThe options SolverMAM reads
 Cline::mam::MamRetrialConfigThe knobs solver_mam_retrial.m reads from options.config and from model fields the C++ NetworkStruct does not carry
 Cline::mam::MamRetrialInfoWhat qsys_is_retrial.m returns: the station it found, or why it found none
 Cline::mam::MamSolution< T >What the MAM dispatch returns: the metrics plus the algorithm that ran
 Cline::mam::Map< T >A MAP as the pair of matrices (D0, D1)
 Cline::mam::Map2FitIdcResult< T >The fitted process and which of the reference's five outcomes produced it
 Cline::mam::Map2FitResult< T >Result of map2_fit: the MAP plus the reference's ERR code
 Cline::mam::Map2mmppResult< T >Result of map2mmpp
 Cline::io::Map2RenvInfo< T >The INFO output of map2renv: how the stage set was assembled
 Cline::mam::MapAnfitResult< T >What map_anfit returns: the fitted MAP and the ladder it was built on
 Cline::mam::MapBmap1Blocks< T >The level blocks of solver_mam_map_bmap_1.m
 Cline::qsys::MapD1Result< T >Return value of qsys_mapd1, mirroring the MATLAB result struct
 Cline::qsys::MapDcResult< T >Return value of qsys_mapdc, mirroring the MATLAB result struct
 Cline::qsys::MapG1kPerflowResult< T >Return value of qsys_mapg1k_perflow, mirroring the MATLAB result struct
 Cline::qsys::MapG1kResult< T >Return value of qsys_mapg1k, mirroring the MATLAB result struct
 Cline::qsys::MapG1Result< T >Result of qsys_mapg1
 Cline::mam::MapGammaResult< T >Result of map_gamma, mirroring the MATLAB [GAMMA, RHO0] pair
 Cline::mam::Maph2mFitResult< T >The fitted MAPH and the backward moments it actually achieved
 Cline::mam::MapM1psResult< T >What the two MAP/M/1-PS sojourn entry points return
 Cline::mam::MapMap1Exact< T >Result of the fast path; ok false means the model is not in its regime
 Cline::qsys::MapMap1Result< T >Return value of the MAP/MAP/1 family (qsys_mapmap1, qsys_mapph1, qsys_phph1), carrying the same quantities as the MATLAB result struct
 Cline::qsys::MapMcResult< T >Return value of qsys_mapmc and qsys_mapm1, mirroring the MATLAB struct
 Cline::mam::MapOptimDist< T >What an optimizing distance fit returns
 Cline::qsys::MapPhcResult< T >Return value of qsys_mapphc, mirroring the MATLAB struct
 Cline::mapqn::MapqnAmvaResult< T >X: class throughputs; Qq: mean queue lengths at the MAP station (job in service included); U: busy probability per class, X E[S]; ES: mean service times; pi: joint phase law at N (class R fastest)
 Cline::mapqn::MapqnBndLrMvaResult< T >Result of an MVA-shaped LR bound solve
 Cline::mapqn::MapqnBndLrResult< T >Result of a general LR bound solve
 Cline::mapqn::MapqnBndQrResult< T >Result of a general QR bound solve
 Cline::mapqn::MapqnP1IndexVariable layout of the p1-level models
 Cline::mapqn::MapqnParams< T >Parameters of a MAP queueing network for the QR bounds
 Cline::mapqn::MapqnQrResult< T >Result of a QR bound solve
 Cline::mapqn::MapqnSolution< T >Objective value and the name-keyed variable table of one bound program
 Cline::qn::Marginal< T >What State.toMarginal returns for one station and one state row
 Cline::mva::MargResult< T >A marginal distribution and its logarithm, over the states asked for
 Cline::pfqn::MarieCdScaling< T >Class-dependent scaling of one station, tabulated on the integer population box
 Cline::pfqn::MarieCoxFit< T >Coxian phase representation: phase rates and per-phase completion probabilities
 Cline::pfqn::MarieResult< T >Result of pfqn_marie, mirroring the six MATLAB outputs
 Cline::lang::processes::MarkovChainModel< T >A user-supplied chain: a MarkovProcess when discrete is false, else a MarkovChain
 Cline::Matrix< T >
 Cline::MatrixView< T >
 Cline::qsys::MaximaResult< T >Two-moment description of a maximum
 Cline::pfqn::McmcResult< T >Estimates of pfqn_mcmc together with their batch-means intervals
 Cline::pfqn::McubBounds< T >Return value of pfqn_mcub, mirroring [Xub, Xlb]
 Cline::qsys::MDcCrommelinResult< T >
 Cline::mdd::MDDThe diagram: insert / member / index / enumerate / cardinality
 Cline::mdd::MddClosedQnResult< T >Result of the MDD-stored exact closed-network solve
 Cline::mdd::MddDescriptor< T >Kronecker rate descriptor of a structured model, the input of mdd_mcd
 Cline::mdd::MddEvent< T >One event of the Kronecker rate descriptor
 Cline::mdd::MddLocalMatrix< T >A local rate matrix W_k^e of the Kronecker descriptor, held row-compressed
 Cline::mdd::MddMcdOptionsKnobs of the level iteration in mdd_mcd
 Cline::mdd::MddMcdResult< T >Result of the Miner-Ciardo-Donatelli level aggregation
 Cline::mdd::MddServiceLaw< T >Phase-type service law of one station, as a Markovian (D0,D1) pair
 Cline::mdd::MddStatsStorage description of the set held in an MDD
 Cline::mdd::MddStructPlain-array export of an MDD, the input contract of mdd_mcd
 Cline::me::MeBlkOptionsControls of the blocking fixed point, me_oqn_blk's options struct
 Cline::me::MeBlkResult< T >What me_oqn_blk returns, per station
 Cline::nc::MemSupportThe verdict of solver_nc_mem_supports
 Cline::me::MeOptionsIteration control, mirroring the MATLAB options struct
 Cline::mam::MeRepresentation< T >A matrix-exponential or phase-type representation (alpha, A)
 Cline::me::MeResult< T >Mean-value results shared by the open, closed and mixed algorithms
 Cline::npfqn::MergeConfigMATLAB's config struct
 Cline::mam::MeSampler< T >Stateful ME sampler holding the inversion table
 Cline::fluid::MfqPrioResultPer-class metrics of the priority queue, indexed by class
 Cline::fluid::MfqResultThe metrics mfq reports for its single queue
 Cline::fluid::MfqTopologyWhat the single-queue gate found, when it matches
 Cline::smc::Mg1CrOptionsOptions of MG1_CR, with the reference's defaults
 Cline::qsys::Mg1DisciplineResult< T >
 Cline::smc::Mg1FiOptionsOptions of MG1_FI, with the reference's defaults
 Cline::qsys::Mg1kLossMgsResult< T >
 Cline::qsys::Mg1kLossResult< T >
 Cline::qsys::Mg1PrioResult< T >
 Cline::qsys::Mg1PsOptionsOptions of qsys_mg1_ps, mirroring the reference's name-value pairs
 Cline::qsys::Mg1PsResultEverything qsys_mg1_ps returns
 Cline::fj::Mg1ResptMoments< T >Mirrors MATLAB's [ET, VT] return list
 Cline::qsys::MginfResult< T >Return value of qsys_mginf, mirroring MATLAB's [L,Lq,W,Wq,p0,pk]
 Cline::qsys::MgisrgiOptionsOptions of qsys_mgisrgi_whitt, all with the MATLAB defaults
 Cline::fluid::petri::MinMultiThe result of the many-argument closure
 Cline::api::MinpsClassTraceOne class's raw trace: when its jobs arrived, and how long they took
 Cline::api::MinpsSetupThe prepared sample set, plus what the preparation had to decide
 Cline::api::MlpsSampleOne observation: a response time, the tagged class, and the arrival state
 Cline::qsys::Mm1DpsResult< T >
 Cline::qsys::Mm1kLossResult< T >
 Cline::qsys::Mm1PsResult< T >Mirrors MATLAB's [W, W2, alpha] return list
 Cline::qsys::Mm1TandemLindleyResult< T >Mirrors the struct MATLAB returns from qsys_mm1_tandem_lindley
 Cline::mam::Mmap< T >An MMAP: the underlying MAP plus the per-class arrival matrices
 Cline::mam::MmapDecConfigThe options.config fields the MMAP decomposition reads on top of MamOptions
 Cline::qsys::MmapG1kResult< T >Return value of qsys_mmapg1k, mirroring the MATLAB result struct
 Cline::qsys::MmapGk1Result< T >Return value of qsys_mmapgk1, mirroring the MATLAB struct
 Cline::mam::MmapKFitResult< T >A marked MAP and whether the marking system was solved exactly
 Cline::qsys::MmccRetrialFpResult< T >Return value of qsys_mmcc_retrial_fp, mirroring the three MATLAB outputs
 Cline::mam::MmckDetection< T >What mam_detect_mmck returns; muRate is meaningful only when isMmck
 Cline::qsys::MmckResult< T >
 Cline::mmdp::MmdpPair< T >The (Q, R) pair of an MMDP
 Cline::pfqn::MmintResult< T >Return value of the McKenna-Mitra quadratures, mirroring [G, lG]
 Cline::mam::Mmpp2FitcApproxResult< T >Result of mmpp2_fitc_approx
 Cline::mam::Mmpp2FitcResult< T >Result of mmpp2_fitc
 Cline::mam::Mmpp2FitResult< T >Result of the (mean, scv, skew)-parameterized MMPP(2) fits
 Cline::mam::MnaConfigThe options.config fields the two MNA analyzers read
 Cline::pfqn::simplex::Mode< T >Mode, curvature and log-integrand at the mode of the simplex factor
 Cline::qn::ModeEvent< T >One half of a GLOBAL synchronization: a mode event at a node
 Cline::moment::MomentTensor< T >Joint moment array of size (n_1+1)x...x(n_d+1), stored column major
 Cline::pfqn::MomlinResult< T >Return value of pfqn_momlin, mirroring [Q, X, U, R, QVar, QCov, dQ]
 Cline::rng::Mrg32k3aSSJ's umontreal.ssj.rng.MRG32k3a, state and all
 Cline::opt::de::MT19937
 Cline::trace::MtraceBootstrapResult< T >Lower and upper BCa endpoints of each descriptor, and the point estimate
 Cline::trace::MtraceCountResult< T >Return value of mtrace_count
 Cline::trace::MtraceCountsResult< T >Return value of mtrace_iat2counts
 Cline::trace::MtraceCrossMomentResult< T >Return value of mtrace_cross_moment
 Cline::trace::MtraceJointResult< T >Return value of mtrace_joint
 Cline::trace::MtraceMeanResult< T >Return value of mtrace_mean
 Cline::trace::MtraceMergeResult< T >Return value of mtrace_merge, mirroring [T, L]
 Cline::trace::MtraceSplitResult< T >Return value of mtrace_split
 Cline::trace::MtraceSummary< T >Return value of mtrace_summary
 Cline::lsn::Multiplicity< T >A multiplicity, possibly infinite; MATLAB's mult(i) = Inf
 Cline::mam::MultiRegimeResultReturn value of mfq_multiregime: one row of N per-state values per point
 Cline::mc::MultiResult< T >
 Cline::mva::MvaCacheqnCacheOutputs< T >The cache half of the reference's return list: the (ncaches x nclasses) hit and miss split, plus the per-item occupancy the reference writes straight onto each Cache node with setResultItemProb
 Cline::mva::MvaCacheqnRetrievalSolution< T >What the closed delayed-hit analyzer returns
 Cline::pfqn::MvacldResult< T >Return value of pfqn_mvacld, mirroring [XN, QN, UN, CN, pij]
 Cline::pfqn::MvacResult< T >Return value of pfqn_mvac, mirroring [XN, QN, UN, CN]
 Cline::pfqn::MvaIntervalResult< T >Every output of pfqn_mva_interval, each a [lower, upper] pair
 Cline::pfqn::MvaLdResult< T >Result of pfqn_mvald, mirroring the seven MATLAB outputs
 Cline::pfqn::MvaoiMargResult< T >Return value of pfqn_mvaoi_marg, mirroring [XN, QN]
 Cline::pfqn::MvaoiResult< T >Return value of pfqn_mvaoi, mirroring [X, Qoi, Qli, Qdelay, Soi]
 Cline::mva::MvaOptionsThe options SolverMVA reads
 Cline::pfqn::MvaResult< T >
 Cline::mva::MvaRetrievalCacheOutputs< T >The cache half of the reference's return list: hitprob, missprob, delayedprob, latency, hitproblist and itemprob of solver_mva_retrieval_analyzer.m
 Cline::mva::MvaSolution< T >Class-level results, the [Q,U,R,T,C,X] of the MATLAB analyzers
 Cline::pfqn::MwrbbBounds< T >Return value of pfqn_mwrbb, mirroring [Xlo, Xup, Wlo]
 Cline::qsys::MxM1Result< T >
 Cline::nc::NcCacheqnRetrievalSolution< T >What the closed delayed-hit analyzer returns
 Cline::nc::NcCacheqnSolution< T >What the integrated analyzer returns: the metrics plus the converged split
 Cline::nc::NcCacheSolution< T >What the cache analyzer returns beyond the usual metric table
 Cline::pfqn::NcDispatchResult< T >
 Cline::pfqn::NcldmxResult< T >
 Cline::pfqn::NcldResult< T >
 Cline::nc::NcLossnSolution< T >What the loss-network analyzer returns beyond the usual metric table
 Cline::nc::NcMargResult< T >What the marginal analyzers return: one probability per station
 Cline::pfqn::NcOptionsThe options fields compute_norm_const reads beyond the method itself
 Cline::nc::NcQueueLengthDist< T >The marginal queue-length distribution and its logarithm
 Cline::pfqn::NcResult< T >Return value of the normalizing-constant family, mirroring Ret.pfqnNc
 Cline::nc::NcRetrievalSolution< T >What the delayed-hit analyzer returns beyond the metric table
 Cline::pfqn::NcSanitizeResult< T >
 Cline::nc::NcSolution< T >The [Q,U,R,T,C,X,lG] of the reference, plus the algorithm that ran
 Cline::nc::NcSolverOptionsControls, defaulting to SolverOptions('NC') in the reference
 Cline::nc::NcSpnSolution< T >The product-form solve, with the certificate that produced it
 Cline::NelderMeadOptions< T >Tuning of the simplex iteration
 Cline::NelderMeadResult< T >Outcome of a simplex minimization
 Cline::ctmc::NetState< T >One network state: the per-stateful-node local rows it is composed of
 Cline::qn::NetState< T >One network state: the per-stateful-node local rows it is composed of
 Cline::qn::Network< T >A queueing network under construction
Cline::NetworkSolverThe shared surface of every solver, Python's NetworkSolver
Cline::ctmc::NetworkStruct< T >A network plus its refreshed NetworkStruct
Cline::qn::NetworkStruct< T >A network plus its refreshed NetworkStruct
 Cline::infer::NhppKsResult< T >Outcome of the KS test
 Cline::pfqn::NintMvaResult< T >Mean performance measures of pfqn_nintmva at the requested population
 Cline::NoConstraints< T >A constraint map that returns no constraints; the default for h or g
Cline::NodeA node of the model: the index it was given, and the model that owns it
 Cline::qn::NodeDefA node of the network
 Cline::env::NodeFailure< T >Environment.nodeFailures{k}: the declarative record of one node breakdown
 Cline::solvers::NodeMetrics< T >The station table scattered to the NODE index space, plus the two flow columns the reference recomputes there
 Cline::npfqn::NonexpApproxResult< T >Return value, mirroring MATLAB's [ST,gamma,nservers,rho,scva,scvs,eta]
 Cline::api::NonmarkovOptionsoptions.config.nonmkv and friends
 Cline::qsys::NpfqnTvFluidResult< T >Result of the network solve
 Cline::ssa::NrmEngine< T >The NRM engine: the reaction network built from sn, and the sample path
 Cline::ssa::NrmSpaceEngine< T >The aggregate NRM engine of solver_ssa_nrm_space.m
 Cline::ssa::NrmSpaceStateOne state of the aggregate chain: the (node, class) populations, and the ordered buffer contents of every buffered node
 Cline::num_traits< T >
 Cline::num_traits< Complex >
 Cline::num_traits< double >
 Cline::num_traits< Rational >
 Cline::num_traits< Real< D > >
 Cline::reg::NumFromDecimal< T >
 Cline::reg::NumFromDecimal< double >
 Cline::reg::NumFromDecimal< Rational >
 Cline::reg::NumFromDecimal< Real< D > >
 Cline::opt::de::NumpyRandomState
Cline::opt::Objective
 Cline::ldes::engine::ObservationsThe event-spaced observation series MSER-5 and the CI both read
 Cline::OdeOptions< T >Integration controls
 Cline::OdeSolution< T >Result of an integration
 Cline::pfqn::OiFncResult< T >Return value of pfqn_oi_fnc, mirroring [muf, Psi, mu] flattened
 Cline::pfqn::OiInsvcResult< T >Return value of pfqn_oi_insvc, mirroring [g, Xi, Phi]
 Cline::api::OpenProbTerm< T >The log contribution, and whether the state carries any mass at all
 Cline::wf::OptimizationInsightsThe advisory text the reference's getOptimizationInsights assembles
 Cline::opt::OptimizationProblem
 Cline::opt::OptimizationResult
 Cline::ln::OvertakeCtmcState< T >Stationary law of the three-state overtaking chain, in its own order
 Cline::util::LineConsole::OwnModelCompileLift the compile detail rule while the run compiles its OWN model
 Cline::mapqn::P2IndexFlat index of the joint variable p2(j,nj,k,i,ni,h)
 Cline::pfqn::PanaceaLdResult< T >Return value of pfqn_panaceald, mirroring [Gn, lGn] plus why it declined
 Cline::pfqn::PanaceaResult< T >Return value of pfqn_panacea, mirroring [Gn, lGn]
 Cline::wf::ParallelStats< T >Mirrors the Java getParallelStats map
 Cline::infer::ParamEstimator
 Cline::opt::ParetoPoint
 Cline::opt::ParetoSweep
 Cline::pfqn::PasIsResult< T >Return value of pfqn_pas_is / pfqn_oi_is, mirroring [G, lG, Q]
 Cline::ctmc::NetworkStruct< T >::PasParamThe G-network signal declaration, per CLASS
 Cline::qn::NetworkStruct< T >::PasParamThe G-network signal declaration, per CLASS
 Cline::pfqn::PasPlacement< T >Result of pas_placement
 Cline::mc::PassageCurve< T >A passage-time law on a grid
 Cline::mc::PassageMoments< T >Per-source and pi0-weighted passage moments
 Cline::mc::PassagePh< T >The phase-type form of a first passage time
 Cline::qsys::Patience< T >The patience (time-to-abandon) law, in the three forms the algorithm accepts
 Cline::api::PatienceHandles< T >The patience law of one station-class pair, in the forms the solvers consume
 Cline::wf::PatternComplexityEntryPer-pattern-family complexity, one entry of the report's patternComplexity
 Cline::pfqn::PbhBounds< T >Return value of pfqn_pbh, mirroring [Xlo, Xhi, Qlo, Qhi]
 Cline::perm::PermSpmResultOutcome of the saddle-point expansion: the estimate and what produced it
 Cline::mc::PerronState< T >Perron root of A(theta) with its first two derivatives and the amplitude
 Cline::fluid::petri::PetriConservationThe conserved quantities of a net, as equations
 Cline::fluid::petri::PetriConstraintsEvery finite place capacity as a linear row A x <= b
 Cline::fluid::petri::PetriImmediateThe active set of the immediate modes and the equations pinning their flows
 Cline::fluid::petri::PetriModeOne firing mode of one transition, with its arcs and its firing process
 Cline::fluid::petri::PetriOptionsTuning of the outer solve
 Cline::fluid::petri::PetriReportWhat the Petri route computes that the station table has no column for
 Cline::fluid::petri::PetriSolutionEverything solver_fluid_petri returns
 Cline::fluid::petri::PetriTermsThe assembled drift terms of a net
 Cline::fluid::petri::PetriThetaThe closed enabling term of every mode and its derivative
 Cline::fluid::petri::PetriVerdictWhether the fluid Petri route can answer this model, and why not
 Cline::mva::PfChainParams< T >Product-form chain parameters, the split into queueing and delay stations
 Cline::nc::PfParams< T >The [lambda,D,N,Z,mu,S,V] of the reference
 Cline::pfqn::PfqnManjunathOptionsControls of pfqn_manjunath
 Cline::pfqn::PfqnManjunathResult< T >Result of pfqn_manjunath
 Cline::pfqn::PfqnNreResult< T >The reference's [lG,G,lGs,vsad]
 Cline::api::lqn::PhLaw< T >A phase-type law as the composition rules pass it around
 Cline::workflow::PhLaw< T >A phase-type law as the composition rules pass it around
 Cline::qsys::PhM1Result< T >
 Cline::qsys::PhMcResult< T >
 Cline::mam::PhService< T >One class's phase-type service law, He's (sigma_k, S_k)
 Cline::mam::PhType< T >A phase-type representation (alpha, T) of a MAP's inter-arrival time
 Cline::pivot_mag< T >The ordered type the pivot search compares in
 Cline::pivot_mag< std::complex< R > >Partial pivoting compares moduli, since the complex field is unordered
 Cline::qn::PollingInfo< T >Port of State.pollingInfo: the derived description of a polling controller
 Cline::polling::PollingMoments< T >Per-queue first two moments of the arrival, service and switchover processes, the reduced form both formulas consume
 Cline::ctmc::NetworkStruct< T >::PollingParamThe polling controller of a POLLING station, keyed by station index
 Cline::qn::NetworkStruct< T >::PollingParamThe polling controller of a POLLING station, keyed by station index
 Cline::qn::CacheParam< T >::PopularityThe popularity LAW each class declared, beside the pmf it expands to
 Cline::api::lqn::Precedence< T >One precedence of the activity graph
 Cline::workflow::Precedence< T >One precedence of the activity graph
 Cline::qn::PrioPop< T >The population the *PRIO disciplines actually share the server among
 Cline::lang::PriorDesign< T >A Prior reduced to alternatives and weights; the output of prior_discretize
 Cline::lang::PriorRngThe uniform stream the Monte Carlo design draws from
 Cline::uq::PriorSite< T >Where a Prior sits in the model, MATLAB's priorInfo entry
 Cline::lang::PriorSpec< T >A LINE Distribution, as the model layer and sn carry it
 Cline::lang::processes::ProbStateResult< T >What getProbState returns: the probability and the two determinants behind it
 Cline::mam::ProbTable< T >The joint (level, phase) table getProb returns: rows levels, cols phases
 Cline::pfqn::Procomom2Result< T >Return value of pfqn_procomom2, mirroring [pk, lG, G, T, F, B]
 Cline::pfqn::ProcomomResult< T >Return value of pfqn_procomom, mirroring [Pr, Q]
 Cline::util::ProcResultOutcome of a captured command
 Cline::pfqn::PropfairResult< T >Return value of pfqn_propfair, mirroring [G, lG, Xasy]
 Cline::mc::PseudoStochCompResult< T >Blocks of the partition together with the pseudo complement over I
 Cline::ldes::engine::PsJobA job being served by a sharing discipline, with the work it still owes
 Cline::mam::QbdBmapBmap1Blocks< T >The level blocks assembled by qbd_bmapbmap1
 Cline::mam::QbdFundMat< T >G and R together, as returned by qbd_fundmat
 Cline::mam::QbdMapMap1Blocks< T >The four level blocks of the MAP/MAP/1 QBD
 Cline::mam::QbdMapMap1Result< T >Result of qbd_mapmap1, mirroring the MATLAB return list
 Cline::mam::QbdRapRap1Result< T >Everything qbd_raprap1 returns
 Cline::mam::QbdRapResult< T >Everything qbd_rap returns
 Cline::mam::QbdRg< T >R, G and the level blocks of a MAP/MAP/1 queue (qbd_rg.m)
 Cline::pfqn::QdAmvaResult< T >What pfqn_qdamva returns: the fixed point and how it was reached
 Cline::pfqn::QdLinResult< T >What pfqn_qdlin returns: the fixed point and how it was reached
 Cline::pfqn::QlenJointMomentsResult< T >Everything pfqn_qlen_joint_moments reports
 Cline::io::QnModel< T >
 Cline::qns::QnsOptionsSolverQNS.defaultOptions plus the two knobs the JMVA document carries
 Cline::mapqn::QrBasIndexVariable layout: p2(j,nj,kj,i,ni,hi,m) then e(i,ki)
 Cline::mapqn::QrBasParams< T >Parameters of the BAS bound, mirroring the reference's params
 Cline::mapqn::QrBasResult< T >Result of a BAS bound solve
 Cline::mapqn::QrfAffine< T >An affine residual map recovered as (A, b) with fn(x) = A x - b
 Cline::sn::QrfAlphaThe scaling, the utilization normalizer, and why they may not exist
 Cline::sn::QrfBlockingThe derived blocking tables, in the reference's 1-based queue indexing
 Cline::sn::QrfCapacityPer-station occupancy bounds, and which of them bind
 Cline::mapqn::QrfConstraints< T >The two constraint blocks: g(x) <= 0 and h(x) = 0
 Cline::mapqn::QrfMetrics< T >The utilizations and queue lengths read off an optimal pair tensor
 Cline::ba::BaOptions::QrfParamsoptions.config.qrf_params, the blocking tables the BAS and RS-RD arms need
 Cline::mapqn::QrfRates< T >The transition rates the constraint inventory reads
 Cline::mapqn::QrfReduced< T >The equality block with its dependent rows dropped
 Cline::mapqn::QrfVars< T >The unflattened decision vector: the pair tensor and the effective rates
 Cline::mapqn::QrRsrdIndexVariable layout: p2(j,nj,kj,i,ni,hi), then U(i,k,n) and Ueff(i,k,n) for n >= 1, then pb(i)
 Cline::mapqn::QrRsrdParams< T >Parameters of the RS-RD bound, mirroring the reference's params
 Cline::mapqn::QrRsrdResult< T >Result of an RS-RD bound solve
 Cline::qsys::QsysAbandonResult< T >Steady-state measures of a multiserver queue with customer abandonment
 Cline::qsys::QsysFluidAbandonResult< T >Steady state of the G/GI/s+GI fluid model
 Cline::qsys::QsysGgnmResult< T >Steady-state measures of the G/GI/n/m diffusion approximation
 Cline::qsys::QsysMolResult< T >MOL and PSA measures of a time-varying multiserver system
 Cline::qsys::QsysMtginfResult< T >Time-varying measures of the Mt/G/infinity queue
 Cline::qsys::QsysQedResult< T >QED measures of the M/M/s queue
 Cline::qsys::QsysQedStaffingResult< T >Outcome of the square-root staffing rule
 Cline::qsys::QsysResult< T >Return value of the qsys family, mirroring MATLAB's [W,rhohat] and the JAR's Ret.qsys
 Cline::qsys::QsysTgaResult< T >Steady-state measures of the G/GI/n+GI truncated Gaussian approximation
 Cline::qsys::QsysTvFluidResult< T >Trajectory of the Gt/Mt/st+GI fluid queue; every vector is on the time grid
 Cline::sim::QuestInterval< T >A confidence interval, asymmetric about the point estimate in general
 Cline::sim::QuestOptionsProcedure constants shared by sim_fquest and sim_firquest
 Cline::sim::QuestResult< T >Point estimate and interval delivered by the QUEST procedures
 Cline::util::LineConsole::QuietRAII guard that suppresses structure-compile detail while it lives
 Cline::pfqn::simplex::Radial< T >Log J(c) and the moments of the tilted law of the radius
 Cline::mc::RandomizationResult< T >
 Cline::fluid::FluidOptions::RateSchedoptions.config.rate_sched: explicit per-(station, class) rate trajectories, the third source solver_fluid_ratemult composes
 Cline::pfqn::RdResult< T >Return value of pfqn_rd, mirroring [lGN, Cgamma]
 Cline::RealSchurReal Schur factorization A = Z T Z^T, with Z orthogonal and T upper quasi-triangular: 1 x 1 diagonal blocks for real eigenvalues and 2 x 2 blocks for complex conjugate pairs
 Cline::mc::ReducibleResult< T >
 Cline::ctmc::NetworkStruct< T >::RegionFINITE CAPACITY REGIONS, MATLAB's refreshRegions output
 Cline::ldes::engine::RegionOne finite capacity region, resolved to what the event loop needs
 Cline::qn::NetworkStruct< T >::RegionFINITE CAPACITY REGIONS, MATLAB's refreshRegions output
 Cline::env::Environment< T >::ReliabilitygetReliabilityTable: MTTF, MTTR, MTBF and availability of an environment built out of node breakdowns
 Cline::qn::ReplyBlockInfoWhere node ind keeps its reply-block counters inside the local vars
 Cline::http::ResponseAn HTTP response, with the body already de-chunked
 Cline::mam::RespTCdf< T >One class's response-time CDF, the reference's RD{station, class} = [F, X]
 Cline::pfqn::ResptPsMomentsResult< T >Sojourn-time moments at the PS station, per class
 Cline::qn::RetrialParam< T >The parameters of a retrial station: MATLAB sn.retrialProc and friends
 Cline::retrieval::RetrievalFpiLatencyResult< T >Mirrors the [Z, d, phi, pi0] return list of the MATLAB function
 Cline::retrieval::RetrievalFpiResult< T >Mirrors the [pmiss, phit, pdh] return list, plus the iteration diagnostics
 Cline::retrieval::RetrievalInputs< T >The [m, lambda, gamma, eta, alpha/T (station), R] the retrieval algorithms read
 Cline::retrieval::RetrievalMetricsResult< T >Mirrors the [pmiss, phit, pdh] return list of the MATLAB function
 Cline::retrieval::RetrievalMvaResult< T >Mirrors the [pmiss, phit, pdh] return list of the MATLAB function
 Cline::retrieval::RetrievalRayintResult< T >Outcome of the expansion
 Cline::retrieval::RetrievalStationPH< T >Phase-type service of every item at one retrieval station
 Cline::ctmc::NetworkStruct< T >::Rewardsn.reward: the user-declared reward functions, MATLAB's model.setReward(name, fn)
 Cline::qn::NetworkStruct< T >::Rewardsn.reward: the user-declared reward functions, MATLAB's model.setReward(name, fn)
 Cline::pfqn::RgfmcResult< T >Return value of pfqn_rgfmc, mirroring [G, lG]
 Cline::pfqn::RgfResult< T >Return value of pfqn_rgf, mirroring [G, lG, lg]
 Cline::ldes::engine::RngThe engine's randomness, in the SHAPE the Java engine uses it
 Cline::RootResult< T >Outcome of a scalar solve
 Cline::ldes::engine::RouteDestOne destination NODE of a (node, class) pair, with the class it switches to
 Cline::ldes::engine::RouteEntryOne routing alternative out of a (node, class) pair
 Cline::sn::RoutingErgodicityInfoThe reducibility structure of a routing matrix, the MATLAB info struct
 Cline::qn::RoutingMatrix< T >The routing matrix a model script fills in, MATLAB's P cell array
 Cline::fluid::petri::PetriImmediate::Row
 Cline::ln::LnSensTable< T >::Row
 Cline::qn::RowLayout< T >How a station's state row splits into [buffer | server | local vars]
 Cline::util::LineConsole::RunRAII guard: opens a run on construction, closes it on scope exit
 Cline::sim::RunLengthPlan< T >The plan of sim_runlength_plan: what the run should have been
 Cline::sim::RunLengthResult< T >Outcome of the run-length plan
 Cline::mc::SaddlepointResult< T >One entry per (t,k) pair
 Cline::infer::SampledMetric
 Cline::ldes::engine::SamplerOne variate generator, holding whatever state its family needs
 Cline::mam::SampleTraceThe state a sampled inter-arrival began and ended in
 Cline::pfqn::ScbBounds< T >Return value of pfqn_scb, mirroring [Xlo, Xhi, Ulo, Uhi]
 Cline::mc::SccResult
 Cline::opt::Scenario
 Cline::sn::ScheduleNominal< T >What sn_schedule_nominal returns, in the reference's own output order
 Cline::pfqn::SchmidtExtResult< T >Return value of pfqn_schmidt_ext, mirroring [XN,QN,UN,CN]
 Cline::pfqn::SchmidtResult< T >Return value of pfqn_schmidt, mirroring [XN,QN,UN,CN]
 Cline::pfqn::SdrCoeffDerived coefficients of an SDR structure, eqs
 Cline::pfqn::SdrResult< T >Mean performance measures returned by pfqn_sdr
 Cline::pfqn::SdrStructTopology and coefficients of a state-dependent routing subnetwork
 Cline::opt::SensitivityData
 Cline::pfqn::SensLdmxEcResult< T >
 Cline::pfqn::SensLinearizerResult< T >
 Cline::pfqn::SensMomResult< T >
 Cline::pfqn::SensMvaldmxResult< T >
 Cline::pfqn::SensMvaResult< T >
 Cline::sens::SensOptionsThe name-value contract of getSensitivityTable
 Cline::pfqn::SensParamOne differentiation parameter
 Cline::pfqn::SensResptResult< T >
 Cline::pfqn::SensResult< T >
 Cline::sens::SensRow< T >One (station, class) row of the table
 Cline::sens::SensTable< T >What the table carries, plus the branch that produced it
 Cline::wf::SequenceStats< T >Mirrors the Java getSequenceStats map
 Cline::ws::ServerA listening socket; one connection is served at a time
 Cline::lqn::ServerPools< T >Heterogeneous server pools declared on a layer server, the twin of the nservertypes / servertypenames / serverspertype / servercompat / heterorates block a Network carries in sn.nodeparam{i}
 Cline::sum::ServersNumber of servers of a station; MATLAB's mi(i) = Inf becomes infinite
 Cline::qn::Station< T >::ServerTypeA heterogeneous server pool: count servers that serve only compatible classes, each with its own service law
 Cline::qsys::ServiceLaw< T >Service-time descriptor, the C++ form of the MATLAB svc struct
 Cline::wf::ServiceParameters< T >A phase-type-shaped service law: entry vector and transient generator
 Cline::mam::SetupDelayoffClosed< T >Mean queue length and throughput of the CLOSED setup/delay-off queue
 Cline::qn::SetupDelayOffParam< T >Setup and delay-off of a station that powers down when it falls idle
 Cline::sim::ShapiroWilkResult< T >Outcome of the Shapiro-Wilk normality test
 Cline::fluid::ShareValueA share closure's value and Jacobian, and the joint-closure covariance
 Cline::smc::ShiftResultWhat MG1_Shifts returns: the shifted sequence and the drift it measured
 Cline::pfqn::SibBounds< T >Return value of pfqn_sib, mirroring [Xlo, Xhi, Wlo, Whi]
 Cline::mva::SjnAnalyzerResult< T >What the analyzer returns, the reference's metrics plus its actualmethod
 Cline::pfqn::SjnOptionsOptions of the SJN solvers, the fields sjn_args fills in
 Cline::pfqn::SjnProfileThe conditional waiting time profile at one SJN station, the reference's WX
 Cline::pfqn::SjnResultReturn block of pfqn_mvasjn and pfqn_amvasjn
 Cline::ba::SncEnvelopesThe per-pair envelopes the analyzer built, keyed by (station, class)
 Cline::ba::SncPercentilesThe response-time and queue-length QUANTILES of the 'snc' family
 Cline::snc::SncResultA bound together with the theta that attains it
 Cline::api::SnMapModulation< T >One modulating process: which station and classes it drives, and its blocks
 Cline::api::SnPnAvgRates< T >What sn_pn_avg_rates rewrites in place; empty tables are left empty
 Cline::api::SnPnFiringRatesWhat sn_pn_firing_rates returns; x empty means "no answer", as in the reference
 Cline::api::SnRtOrig< T >What sn_rtnodes_to_rtorig returns: the flat matrix and its per-class-pair blocks
 Cline::api::SnRtStations< T >What sn_rt_stations returns: the complemented routing and the station visits
 Cline::autosolver::SolverCandidateOne row of auto_find_solver: a (family, method) pair this model can be asked for, whether it runs, what kind of answer it returns and which measures it can report
 Cline::env::SolverEnv< T >The environment solver
 Cline::env::SolverEnvLimit< T >The limit solver
 Cline::env::SolverEnvStatevec< T >The state-vector environment solver
 Cline::ln::SolverLN< T >
 Cline::lqns::SolverLQNS< T >The layered model solved by lqns or lqsim
 Cline::SolverOptionsThe knobs a solver reads; a negative or empty field keeps the engine default
 Cline::uq::SolverUq< T >The ensemble surface of UQ: @UQ's EnsembleSolver implementation
 Cline::lqn::SparseGraph< T >A sparse square matrix over element indices, held as a dense vector of rows with an explicit nonzero list per row
 Cline::spn::SpnEnabling< T >Unnormalised enabling-degree masses of one mode
 Cline::spn::SpnInfo< T >Everything the caller needs alongside the descriptor
 Cline::spn::SpnInvariantsThe invariant basis of a net, in place-level coordinates
 Cline::spn::SpnLpBoundsThe brackets; each vector pair holds the minimum then the maximum
 Cline::spn::SpnLpModeOne (transition, mode) pair over place levels
 Cline::spn::SpnLpOptionsOptions of the relaxation
 Cline::spn::SpnMetrics< T >The stationary measures of Sec
 Cline::ldes::engine::SpnModeOne mode of a transition, resolved to what the event loop needs
 Cline::spn::SpnMode< T >One (transition, mode) pair of the net, in level coordinates
 Cline::workflow::SPNode< T >
 Cline::spn::SpnOptionsOptions of the translation
 Cline::spn::SpnPfOptionsOptions of the product-form derivation
 Cline::spn::SpnPfResult< T >The product form, and the certificate that it is one
 Cline::spn::SpnResult< T >Descriptor, diagram and metadata returned together
 Cline::ldes::engine::SpnTransitionOne Transition node
 Cline::api::lqn::SPTree< T >The flat series-parallel tree
 Cline::workflow::SPTree< T >The flat series-parallel tree
 Cline::npfqn::SqdOptions< T >The four option switches of the reference, with its defaults
 Cline::npfqn::SqdResult< T >Return value of npfqn_sqd, mirroring [X, Q, U, R]
 Cline::pfqn::SqniResult< T >Return value of pfqn_sqni, mirroring [Q, U, X] for the single station
 Cline::ssa::SsaCacheRatioWhat the cache write-back of solver_ssa_analyzer_serial.m produces
 Cline::ssa::SsaEventCache< T >EventCache: the per-state enabled-event memo of the serial SSA engine
 Cline::ssa::SsaEventKeyThe memoization key: the argument list of after_event, in fields
 Cline::ssa::SsaNrmSpaceRun< T >What solver_ssa_nrm_space.m returns, plus what makes it a measurement
 Cline::ssa::SsaNrmSpaceSolution< T >The metric table, the table it came from, and the stream that produced it
Cline::ssa::SsaOptionsControls, defaulting to SolverOptions('SSA') in the reference
 Cline::ssa::SsaParallelSolution< T >What the replicated analyzer returns
 Cline::ssa::SsaProbReportThe four probabilities -a prob reports, over one requested state
 Cline::ssa::SsaProbResultOne probability query: the estimate, and whether the state occurred at all
 Cline::ssa::SsaReachability< T >Port of solver_ssa_reachability.m's return: [SSq, SSh, sn.space]
 Cline::ssa::SsaRngThe uniform source, MATLAB's rand
 Cline::ssa::SsaSamplePath< T >One trajectory, in the shape the reference's sampleSys returns it
 Cline::ssa::SsaSerialEngine< T >The serial engine: the sample path of solver_ssa.m's main loop
 Cline::ssa::SsaSerialRun< T >One sample path, in the shape solver_ssa.m returns it
 Cline::ssa::SsaSerialSolution< T >The serial analyzer's return: the metric table, the path, and the stream
 Cline::ssa::SsaSolutionWhat the analyzer returns, in the same shape as the MVA and fluid results
 Cline::pfqn::SsdBounds< T >
 Cline::qn::Station< T >One station of the network
 Cline::ldes::engine::StationStateOne station's mutable state
 Cline::ldes::engine::StatTripleGrand mean, standard error and degrees of freedom of a batch-means estimate
 Cline::pfqn::StdfResult< T >Result of pfqn_stdf / pfqn_stdf_heur, mirroring the MATLAB cell array RD
 Cline::mam::StDistrPh< T >A phase-type law (alpha, A) as BUTools' 'stDistrPH' returns it
 Cline::lang::processes::StochCompOut< T >What stochCompFull returns for a CTMC; a DTMC fills the same blocks from P
 Cline::mc::StochCompResult< T >
 Cline::sim::StsQuantileStats< T >Batched-quantile statistics of one sample path
 Cline::opt::SubProblem
 Cline::opt::SubProblemResult
 Cline::sum::SumClosedResult< T >Mirrors the [XN, QN, UN, RN, it] return list of the MATLAB function
 Cline::sum::SumClosingResult< T >Mirrors the [XN, QN, UN, RN, TN, it] return list of the MATLAB function
 Cline::sum::SumOptionsConvergence controls, mirroring the trailing (tol, maxiter) arguments
 Cline::qn::SupportResultThe outcome of the gate: the verdict, the offending features, the message
 Cline::SvdFactorsA = U diag(s) Vt, with U (m x m), s of length min(m,n) and Vt (n x n)
 Cline::SylvesterFactor< T >The Kronecker operator of a FIXED (A,B) pair, factorized once
Cline::sym::SymEngineA computer algebra backend
 Cline::fluid::SymFactorThe state-dependent factor attached to one event's driving variable
 Cline::sym::SymSensitivityExact parametric sensitivity, following Trivedi and Bobbio (2017), Sec
 Cline::ctmc::Sync< T >One synchronization: an ACTIVE event and the PASSIVE event it drives
 Cline::qn::Sync< T >One synchronization: an ACTIVE event and the PASSIVE event it drives
 Cline::qn::SyncEvent< T >One half of a synchronization: an event at a node, in a class
 Cline::solvers::SysResult< T >@@NetworkSolver/getAvgSys: one response time and one throughput per chain
 Cline::qn::TaggedChain< T >The tagged model and the class bookkeeping a caller needs to read it back
 Cline::mc::TakahashiResult< T >
 Cline::qsys::TandemLindleyResult< T >Mirrors the struct MATLAB returns from qsys_tandem_lindley
 Cline::qsys::TandemUbResult< T >Mirrors the struct MATLAB returns from qsys_tandem_ub_ciucu
 Cline::mam::TaylorSeriesResult< T >What the adaptive Taylor series returns: the reference grid and its laws
 Cline::fluid::TbiOptionsControls of the time-based iteration, mirroring options.config.tbi_*
 Cline::util::TempDir
 Cline::lang::processes::TimeAverageOut< T >What timeAverage returns
 Cline::mc::TimeAverageResult< T >
 Cline::trace::TraceBicovResult< T >Return value of trace_bicov, mirroring [BiCov, BiCovLags]
 Cline::trace::TraceBinsResultReturn value of trace_iat2bins, mirroring [C, bC]
 Cline::trace::TraceGammaResult< T >Return value of trace_gamma, mirroring [GAMMA, RHO0, RESIDUALS]
 Cline::trace::TraceIdiResult< T >Return value of trace_idi, mirroring [IDIk, support]
 Cline::trace::TracePmfResult< T >Return value of trace_pmf, mirroring [pmf, px]
 Cline::trace::TraceSummary< T >Return value of trace_summary
 Cline::mam::TrafficConfigThe fields of options.config the traffic step reads
 Cline::npfqn::TrafficIdcContext< T >Context returned by npfqn_traffic_idc, mirroring the MATLAB ctx struct
 Cline::npfqn::TrafficIdcCorrectionsToggle for the two correction terms, mirroring MATLAB's corrections
 Cline::npfqn::TrafficRqt< T >
 Cline::TranAvggetTranAvg: the transient mean queue length per (station, class)
 Cline::mam::TranCurve< T >One station-class transient curve, the reference's [metric, time] pair
 Cline::mam::TranResult< T >What getTranAvg returns: queue length, utilization and throughput curves
 Cline::lang::processes::TransientAtResult< T >What the CTMC transient returns: the law at t and the truncation it used
 Cline::mam::TransientQbdThe piecewise QBD blocks, 1-based exactly as the reference's cell arrays
 Cline::mc::TransientResult< T >
 Cline::mc::TransientSensResult< T >
 Cline::qn::TransitionParam< T >The parameters of a Cache node, MATLAB's sn.nodeparam{ind} for a Cache
 Cline::ldes::engine::TruncationWhere the warmup ended, and whether a truncation was applied at all
 Cline::qsys::TvFluidOptions< T >Options of qsys_gtmtst_fluid, all with the MATLAB defaults
 Cline::mc::UniformizationResult< T >
 Cline::pfqn::UniqueResult< T >
 Cline::wf::UpdatedWorkflow< T >The collapsed link matrix and the service law of every surviving node
 Cline::wf::UpdateStats< T >Statistics of one update pass; the Java getUpdateStats map
 Cline::uq::UqDesignPoint< T >One design point: a concrete distribution for every Prior, and its weight
 Cline::uq::UqEmpiricalCdf< T >The weighted empirical law of a metric, sorted ascending; MATLAB's EmpiricalCDF
 Cline::uq::UqInterval< T >UQ.getInterval: the RANGE of every metric over the support of the Priors
 Cline::uq::UqMoments< T >The weighted mean and variance of a metric over the design
 Cline::uq::UqOptionsUQ.defaultOptions plus the stream the Monte Carlo design draws from
 Cline::uq::UqSolution< T >What solver_uq_run_analyzer returns
 Cline::uq::UqStageOptionsThe inner solver's knobs, carried through untranslated
 Cline::http::UrlThe pieces of an http:// URL this client needs
 Cline::infer::VariationalOptions< T >Options of infer_variational; a negative box means "derive a default"
 Cline::infer::VariationalResult< T >Outcome of infer_variational
 Cline::infer::VariationalSpec< T >Inference problem handed to infer_variational
 Cline::sim::VonNeumannResult< T >Outcome of the von Neumann randomness test
 Cline::ldes::engine::WaitCmpThe waiting-room order of a buffered discipline
 Cline::ctmc::WaitqResult< T >The chain the WAITQ walk produces, alongside the FIFOs its states carry
 Cline::ctmc::WaitqSolution< T >A solved WAITQ model: the usual CTMC solution, plus what the FIFOs hold
 Cline::ctmc::WaitqState< T >One augmented state: the network state, plus the token FIFO of every region
 Cline::mc::WeakCompResult< T >Number of weakly connected components and the per-node label (weaklyconncomp.m)
 Cline::lti::WeeksParamsA Laguerre expansion: the damping, the scaling and the coefficients
 Cline::wf::WfModelFacts< T >The four model facts the base recommendation reads, i.e
 Cline::api::lqn::Workflow< T >
 Cline::workflow::Workflow< T >
 Cline::workflow::WorkflowActivity< T >A computational activity
 Cline::wf::WorkflowAnalysis< T >What analyze_workflow returns
 Cline::wf::WorkflowAnalysisResult< T >Everything analyze_workflow_full returns, i.e
 Cline::wf::WorkflowComplexity< T >The reference's complexity map, for either the original or the collapsed graph
 Cline::wf::WorkflowFeatures< T >The flat feature vector the recommendation reads
 Cline::wf::WorkflowPerformanceMetricsThe four efficiency scores plus the two headline numbers
 Cline::wf::WorkflowRepresentation< T >The workflow in matrix form: the reference's WorkflowRepresentation
 Cline::opt::WorkflowResult
 Cline::wf::WorkflowStatistics< T >The statistics block of WorkflowAnalysis
 Cline::wf::WorkflowValidationWhat validate_workflow reports
 Cline::qsys::WorkloadServiceLaw< T >The three things Cohen's formula needs from the required-service-time law: its mean, its squared coefficient of variation, and its CDF
 Cline::pfqn::WsResult< T >What an approximate MVA sweep reports