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::lqn::srvn_detail::Acts
 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::AutoCandidateOne row of SolverAUTO::find_solver: a (family, method) pair and whether this model can run it
 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::AvgChaingetAvgChain(): the station x chain matrices, @NetworkSolver/getAvgChain.m's outputs
 Cline::AvgChainTablegetAvgChainTable: the station table aggregated by CHAIN, one row per (station, chain), row-major over (station, chain) and with no row filter, as @NetworkSolver/getAvgChainTable.m
 Cline::AvgFJTablegetAvgFJTable(): one row per (Fork/Join pair, class) with a nonzero metric, the fork-join SECTION metrics of fjFixedPoint.m (MVA, NC, Fluid), JMT and LDES
 Cline::AvgMetricTablegetAvgQLenTable(), getAvgUtilTable(), getAvgRespTTable(), getAvgTputTable(): the Station and JobClass columns of getAvgTable with ONE metric column, row for row, as getAvgMetricTable.m builds them
 Cline::mva::AvgResult< T >The metrics getAvg returns, after filtering
 Cline::AvgSysTablegetAvgSysTable(): one row per CHAIN, the cycle time and the completing throughput at the chain's reference station, as @NetworkSolver/getAvgSysTable.m reports them
 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::Bernoulli1InfiniteResult< T >The reference's unbounded-buffer branch (L = Inf), bernoulli1_infinite: the Geo/Geo/1 closed form under the LAS-DA convention, with the queue-length laws returned as functions of n as the reference returns handles
 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::lqn::NlpProgram::Bil
 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 (the name-value pairs of the .m file)
 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::wfn::WorkflowNet::Compiled::Busy
 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::env::SolverEnvLimit< T >::CacheAccumThe RATE accumulator behind the cache blend, SolverENV.accumCacheMetric
 Cline::api::CacheActualProb< T >The converged cache split, per ORIGINAL class of one Cache node
 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 >The parameters of a Cache node, MATLAB's sn.nodeparam{ind} for a Cache
 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::CacheSojournClock< T >A phase-type clock: dphi/dt = phi A, phi(t0) = phi0, density phi c
 Cline::cache::CacheSojournResult< T >A sojourn average: xbar (empty when wtot is not positive), clock mass, per-user miss rate
 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::lqn::srvn_detail::Call
 Cline::lqn::srvn_out::CallRow
 Cline::wfn::CaseMetricsCase-level metrics of get_case_metrics
 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::solvers::ConfigKeyOne options.config key; an empty placement means "not implemented there"
 Cline::lqn::srvn_detail::Conn
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::mc::CtmcCalibrationThe per-host power-law fit, the reference's calib struct
 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::qn::CtmcMapc< T >CTMC pair form of a MAP service at an FCFS station, written by ctmc::ctmc_mapc on the solver's private copy of the struct (MATLAB sn.ctmcmapc{ist,r})
 Cline::ctmc::CtmcMddSolution< T >What one mdd solve produces beside the means, i.e
 Cline::sym::CtmcMeasureOne weighted sum of the stationary distribution, or a ratio of two
 Cline::sym::CtmcMeasuresStationary distribution together with the measures taken from it
 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::qn::CtmcPool< T >CTMC bookkeeping of a heterogeneous-server station, written by ctmc::ctmc_pools on the solver's private copy of the struct (MATLAB sn.nodeparam{ind}.ctmcpool)
 Cline::ctmc::CtmcRateSchedOne entry of options.config.rate_sched: the rate of (station, class) follows the piecewise-linear schedule (tgrid, rates) over a transient
 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::mc::CtmcSsgOptionsThe reference's options read here: options.cutoff and the state cap
 Cline::mc::CtmcSsgResult< T >The reference's [stateSpace, stateSpaceAggr, stateSpaceHashed, nodeStateSpace]
 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::wfn::CycleTimeAnalysisThe full single-case analysis of get_cycle_time_analysis
 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::DiffusionResultSteady-state averages 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::smc::rr_detail::DispThe displacement representation B = L(b) + L(c1) L(Z r1)' + L(c2) L(Z r2)' of the Ramaswami-reduction matrix, with L(x) the block lower-triangular Toeplitz matrix whose first block column is x (N*m x m) and Z the block down-shift
 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::pfqn::DivdiffLdResult< T >Return value of pfqn_divdiff_ld, mirroring [lG, G, lossDigits]
 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::io::jmva_detail::Element
 Cline::lqn::srvn_out::Element
 Cline::xml::Element
 Cline::wfn::ElementRefA place, a transition, or the name of either, where an argument may be any of them
 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::ssa::mlmc_detail::Engine
 Cline::lqn::srvn_detail::Entry
 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::EnvGenerator< T >The outputs of getGenerator, in the reference's order
 Cline::env::Environment< T >
 Cline::env::EnvLimitSolutionWhat a limit solve reports
 Cline::env::EnvMeanfieldSolution< T >A mean-field solve, with the compression that produced it
 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::EnvStageAvg< T >What one stage solve reports back to the limits
 Cline::env::EnvStageEventOne environment transition event, the reference's Event(STAGE, node, NaN, NaN, [e,h])
 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::ErrorKindThe <kind> part of a LINE:<category>:<kind> identifier (see _kb/17-error-vocabulary.md): an identifier such as Cache, SchedStrategy_PS, NonConvergence or Method
 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 >
 CFdCaptureRedirect a file descriptor into a temporary file for a scope, and give back what was written to it
 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::wfn::CycleTimeAnalysis::Firings
 Cline::FirstPassagegetCdfFirstPassT(A, B, C, tset): the curve, the reach probabilities and the resolved sets
 Cline::FirstPassageMomentsgetFirstPassTMoments(A, B, nmax, C): [m, mall, p] with the resolved sets
 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::mva::FjInnerD0< T >One nested fork walked by fj_find_paths: the second output inner of findPathsCS
 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::solvers::FjMetrics< T >self.result.FJ: one row per Fork/Join pair, one column per class
 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::mva::FjSectionAcc< T >fjR of fjFixedPoint.m: the order-statistic sojourn d0 the fixed point charges each fork-join section, per (fork node, ORIGINAL class), overwritten on every pass so the converged one wins
 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::petri::PetriReport::FluidMATLAB moments.petri.fluid: per fluid place its name, reported level and level variance, its unthrottled mean drift, the variance rate of its net inflow (filled only by the diffusion refinement), the bound it is held at (+1 capacity, -1 empty, 0 none), and the fluid_boundary mode in force
 Cline::fluid::FluidAoiResultWhat the AoI branch of mfq returns: the age laws and the metrics beside them
 Cline::qn::TransitionParam< T >::FluidArcOne fluid arc of a mode: node is the 1-based fluid place, value a rate or an impulse
 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::qn::TransitionParam< T >::FluidDepA fluid rate dependence: the firing rate is multiplied by fun(level(node))
 Cline::fluid::FluidEventOne event of the drift
 Cline::qn::TransitionParam< T >::FluidFlowDepA marking-dependent fluid flow (setFluidFlowDependence): the flow of the mode on fluid place node is multiplied by fun(M)
 Cline::mam::FluidFundamental< T >Psi, K and U of a fluid queue with drifts normalized to +-1
 Cline::qn::TransitionParam< T >::FluidGuardA fluid guard: the mode is enabled only while level(node) >= thr (sgn = +1) or <= thr (sgn = -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::FluidMfqAdmitsVerdict of fluid_mfq_admits
 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::FluidOdeSystemThe assembled drift: the layout, the events, and the per-station schedule
 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::FluidRateMultPort of solver_fluid_ratemult.m's output: a per-event MULTIPLIER on a time grid, evaluated by fluid_interpcols
 Cline::fluid::FluidRefineInfoWhat fluid_refine_meanfield reports about the correction it computed
 Cline::api::FluidRtLikelihoodWhat the fluid likelihood call reports
 Cline::fluid::FluidSingleQueueThe single-queue topology the reference reads, in 0-based indices
 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::lqn::nlp_detail::ForkBlockOne AND-fork/join block, in absolute LQN indices
 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::lqn::srvn_detail::Group
 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::HyperexpLongtailOptions< T >The reference's name-value options: k, c1, b, decade, points (empty = unset)
 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::gen::LayeredNetworkGenerator< T >A random lqn::LqnBuilder<T> source, configured once and then drawn from
 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::lqn::nlp_detail::LldExprAn lld expression, parsed once and evaluated over std::complex<double>
 Cline::pfqn::LldResult< T >Return value of pfqn_lld, mirroring [G, lG, s]
 Cline::ldes::engine::LnCacheAccessOne ItemEntry read: its driver activity, its item law and its two branches
 Cline::ldes::engine::LnCacheStateLive content of one replica of a cache task, LNCacheState of the Java engine
 Cline::ln::LnCdfA CDF sampled on a grid, the [F, t] pair MATLAB's evalCDF returns
 Cline::ldes::engine::LnCustomerA reference-task customer: it thinks, then starts an invocation
 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::ln::LnInterlockChoiceThe interlock tracking method a run will use, and why it differs from the request
 Cline::ldes::engine::LnInvOne invocation of an entry: what a call or a reference cycle starts
 Cline::ldes::engine::LnJoinProgress of one AND join within one invocation, JoinProgress of the Java engine
 Cline::ln::LnLayerBlocksLayeredNetwork.layerBlocks: where each layer's block sits in the aggregate
 Cline::ldes::engine::LnLineOne LINE of execution: a point in the activity graph of one invocation
 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::ln::LnZeroCapacityThe structural answer of ln_zero_capacity; see the file header
 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::LqnBalanceEquations< T >The relation set of one layered model
 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::lqn::LqnRefCall< T >One row of calls: the reference's [cidx, fromPos, toPos, aidx, vCall]
 Cline::lqn::LqnRefGroup< T >One group, the reference's R(g): the DAG below one REF task
 Cline::lqn::LqnRefRoutes< T >What lqn_ref_routes returns: the groups, or a non-empty why and no groups
 Cline::lqn::LqnRelation< T >One conservation law, as an aggregation over a node's structural neighbours
 Cline::lqn::LqnSolution< T >The iterates of a solved layered model, indexed by ABSOLUTE element index
 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::MamRenegingInfoWhat mam_reneging_applicable.m returns: the station it found, or why it found none
 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::MamSyncParams< T >What qsys_mgck_sync needs, read off the model by mam_sync_refusal
 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::solvers::MapEnvConfigThe caller-facing map_env knobs, options.config.map_env and friends
 Cline::solvers::MapEnvDecisionWhat the gate decided, and what it decided it about
 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::gen::MatlabRngOne MATLAB global random stream, as left by rng(seed)
 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::smc::Mg1IsOptionsOptions of MG1_IS, with the reference's defaults
 Cline::qsys::Mg1kLossMgsResult< T >
 Cline::qsys::Mg1kLossResult< T >
 Cline::smc::Mg1NiOptionsOptions of MG1_NI, with the reference's defaults
 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::smc::Mg1RrOptionsOptions of MG1_RR, with the reference's defaults
 Cline::qsys::MgckSyncResult< T >Return value of qsys_mgck_sync, mirroring the MATLAB result struct
 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::ssa::MlmcCompiled
 Cline::ssa::MlmcOptions
 Cline::ssa::MlmcProblemGeneric fixed-increment jump process
 Cline::ssa::MlmcResult
 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::qsys::MmapGk1Service< T >One marked type's service law, in any of the three forms the reference accepts: a Distribution object, a (D0, D1) MAP pair, or a transform struct
 Cline::qsys::MmapGk1Transform< T >A service law given by its transform, the reference's struct form struct('lst', @(s) ..., 'moments', [m1 m2 ...]): the LST at a complex argument and its raw moments, of which at least numWMoms + 1 are needed
 Cline::mam::MmapKFitResult< T >A marked MAP and whether the marking system was solved exactly
 Cline::qsys::MmapMap1Result< T >Return value of qsys_mmapmap1, mirroring the MATLAB struct
 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::lqn::NlpProgram::Mnl
 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::lqn::srvn_detail::Model
 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::pfqn::MvabloResult< T >Return value of pfqn_mvablo, mirroring [X,Q,U,R,BT,iter,converged]; vectors are (M)
 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::NcCacheMiss< T >Miss rates of one isolated cache and what produced them; see nc_cache_missrate
 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::nc::NcCftpAvg< T >The means of one cftp solve, before the SolverNC metric filter
 Cline::nc::NcCftpOptionsThe knobs of one perfect-sampling run
 Cline::nc::NcCftpSolution< T >What one cftp solve produces beside the means
 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::gen::NetworkGenerator< T >A random qn::Network<T> source, configured once and then drawn from
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::lqn::NlpLldA declared queue-dependent rate multiplier of one station: an expression in n, or a tabulated lldscaling row, which is refused because its interpolant has a corner at every knot
 Cline::lqn::NlpOptionsOptions of the program: python export_nlp(lld=, alpha=, fork=)
 Cline::lqn::NlpProgramThe program of one layered model
 Cline::lqn::NlpRateThe queue-dependent rate of one station, r(n) = softmin(n, m) [* lld(n)], or n at a delay
 Cline::lqn::NlpSolveResultWhat NlpProgram::solve returns: python's Result
 Cline::lqn::NlpProgram::Nlt
 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::ssa::NrmSpnEngine< T >The SPN Next-Reaction-Method engine, solver_ssa_nrm_spn of the reference
 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::lqn::srvn_detail::Parser
 Cline::pfqn::PasIsResult< T >Return value of pfqn_pas_is / pfqn_oi_is, mirroring [G, lG, Q]
 Cline::ctmc::NetworkStruct< T >::PasParamThe pass-and-swap / order-independent parameters of a PAS station, keyed by station index (Dorsman and Gardner 2024, Sect
 Cline::qn::NetworkStruct< T >::PasParamThe pass-and-swap / order-independent parameters of a PAS station, keyed by station index (Dorsman and Gardner 2024, Sect
 Cline::pfqn::PasPlacement< T >Result of pas_placement
 Cline::sym::PassageFirst passage time transform and moments
 Cline::mc::PassageCurve< T >A passage-time law on a grid
 Cline::mc::PassageMoments< T >Moments of a first passage time, [Mall, m] of the reference
 Cline::mc::PassagePh< T >The phase-type form of a first passage time
 Cline::mc::PassageTaboo< T >First passage into a target set B under a TABOO set C, [F, f, out] of ctmc_passage_taboo.m: the passage completes by entering B and is lost for good by entering C first
 Cline::mc::PassageTabooMoments< T >Conditional moments under a taboo set, [mall, m, pB] of ctmc_passage_taboo_moments.m
 Cline::io::PasSaturationThe per-class saturation cutoffs of a count-indexed rate table
 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, and the two bounds of every fluid place
 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::wfn::CaseMetrics::PlacesMean tokens per place, SPN target only
 Cline::wfn::CycleTimeAnalysis::PlaceTime
 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::pool_detail::PoolStart< T >One successor of a pooled service start: the buffer, the servers, its weight and the class started
 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::mam::PrioQueueOptionsOptions shared by both priority analyzers (the BUTools 'erlMaxOrder' and 'prec')
 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::lqn::srvn_detail::Proc
 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::io::code_gen_detail::ProcSpecOne (station, class) process, reduced to what QN2MATLAB / QN2JAVA decide on
 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::lqns::QnsOptionsSolverLQNS.defaultOptions on a flat Network plus the 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::gen::RangeA closed interval the generator samples from
 Cline::fluid::FluidOptions::RateSchedoptions.config.rate_sched: explicit per-(station, class) rate trajectories, the third source solver_fluid_ratemult composes
 Cline::sym::RatioSpecA ratio of two measures, by their index into the weight block
 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::mam::reneging_detail::RenegingMetricsThe station metrics of the MAP/M/s+G queue
 Cline::qn::ReplyBlockInfoWhere node ind keeps its reply-block counters inside the local vars
 Cline::cli::RequestOne invocation: the argument vector, plus what a pipe would have carried
 Cline::wfn::WorkflowNet::Compiled::Res
 Cline::autosolver::ResolvedVerdictNetworkSolver.supportsResolvedMethod's answer: the gate on the resolved name
 Cline::wfn::ResourceLoadsThe table of get_resource_loads
 Cline::wfn::CaseMetrics::Resources
 Cline::cli::ResponseWhat one invocation produced
 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::io::code_gen_detail::RouteThe (k, c, i, m, p) of every positive sn.rtnodes entry, in QN2MATLAB's loop order, 0-based
 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::SamplePathsampleSysAggr / sampleAggr: ONE simulated trajectory, not a mean
 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::rng::SeedHashSplitmix64 keyed by (run seed, stream offset): where every LDES stream's seeds come from
 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::mam::SetupDelayoffMMk< T >Mean number present and throughput of the setup/delayed-off pool
 Cline::qn::SetupDelayOffParam< T >Setup and delay-off of a station that powers down when it falls idle
 Cline::util::Sha256Incremental SHA-256
 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::infer::SmpArcOne fitted transition
 Cline::infer::SmpEnvOptionsOptions of infer_smp_env
 Cline::infer::SmpFitWhat infer_smp returns
 Cline::infer::SmpHazardBoth hazard functions of one transition, rows aligned with the instants asked for
 Cline::infer::SmpNelsonAalenOne Nelson-Aalen estimate, on the distinct event times of its transition
 Cline::infer::SmpOptionsOptions of infer_smp, the reference's name/value pairs
 Cline::mc::SmpStageCifWhat smp_stage_cif returns: C(h, j) = CIF_h(t_j) and Fhold[j]
 Cline::mc::SmpStageQuadWhat smp_stage_quad returns
 Cline::ba::SncEnvelopesThe per-pair envelopes the analyzer built, keyed by (station, class)
 Cline::api::SnContractFieldOne NetworkStruct field; kinds and shapes are comma-separated
 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::SnFieldViewThe view of one field
 Cline::api::SnFieldViewsThe view of a whole struct: its dimensions and one view per contract field, by MATLAB name
 Cline::api::SnFluidVerdictThe verdict of sn_fluid_refusal: ok when no rule is broken, else the reason
 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::wfn::SoundnessReport
 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: one level per (place, class) pair, place-major, level l = pp * nclasses + k for place pp and class k (both 0-based), exactly the (pp - 1) * R + k layout of the reference
 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 (and the NRM's)
 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::env::Environment< T >::StageRowgetStageTable: one row per stage
 Cline::StateViewOne CTMC state as a state-set predicate sees it, the reference's RewardState: the AGGREGATE row of state_space_aggr(), per-(station, class) job counts in (ist-1)*K + k order
 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::qsys::SvclawCoeffsResult< T >Outputs [cn, Smean] of qsys_svclaw_coeffs.m, plus the truncation residual
 Cline::SvdFactorsA = U diag(s) Vt, with U (m x m), s of length min(m,n) and Vt (n x n)
 Cline::lqn::NlpProgram::Sweep
 Cline::SylvesterFactor< T >The Kronecker operator of a FIXED (A,B) pair, factorized once
 Cline::SymbolicSolutiongetSymbolicSolution: the stationary law as a function of the rate symbols
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::lqn::srvn_detail::Task
 Cline::wfn::WorkflowNet::Compiled::Task
 Cline::lqn::srvn_out::TaskRef
 Cline::wfn::CaseMetrics::TasksRespT at its station for the fork-join target, InService tokens for the SPN one
 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::io::TikzEdgeRouter
 Cline::io::TikzGraphNodes in model order plus sn.connmatrix over them
 Cline::io::TikzLayoutNode positions in cm, indexed like TikzGraph::nodes, and the layers that produced them
 Cline::io::TikzNodeOne node as the TikZ exporter sees it
 Cline::io::TikzOptionsLayout and rendering options of the network TikZ exporter (TikZOptions)
 Cline::io::TikzPointA waypoint in cm
 Cline::io::TikzViewResultWhat tikz_view produced
 Cline::lang::processes::TimeAverageOut< T >What timeAverage returns
 Cline::mc::TimeAverageResult< T >
 Cline::lqn::srvn_detail::Tok
 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 Transition node: MATLAB sn.nodeparam{ind} for an SPN transition, as refreshPetriNetNodes.m writes them
 Cline::qsys::mgck_sync_detail::Triplets< T >A sparse transition list, summed into a dense matrix as MATLAB's sparse() does
 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::lqn::srvn_detail::ValA number as written: its source spelling and its value
 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::io::WfCommonsOptionsThe loader options; the defaults are the reference's parseOptions
 Cline::wf::WfModelFacts< T >The four model facts the base recommendation reads, i.e
 Cline::wfn::WFNArc
 Cline::wfn::WFNPlace
 Cline::wfn::WFNResource
 Cline::wfn::WFNTransition
 Cline::lqn::srvn_detail::WorkAn entry phase or an activity: the s, c, f, Z, M values and the calls
 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::wfn::WorkflowNet
 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
 Cline::api::ZeroCapacityWhat sn_zero_capacity reports
 Cline::ln::zc_detail::ZeroCapacity< T >