Package jline.solvers.nc
Class NCResult
java.lang.Object
jline.solvers.SolverResult
jline.solvers.nc.NCResult
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Field Summary
FieldsModifier and TypeFieldDescriptionPer-item occupancy of each cache node, (nitems x lists+1) keyed by node index; column 0 = miss.intdoublejline.solvers.nc.NCResult.ProbPerfect-sampling output of thecftpandcftp.approxmethods, null under every other method.Product-form certificate of a Petri net, set by Solver_nc_spn_analyzer.Fields inherited from class jline.solvers.SolverResult
AN, ANfcr, cacheResults, CN, CNt, DropRateJoin, DropRateNfcr, iter, MemOccNfcr, method, pi_t, QN, QNfcr, QNt, RN, RNfcr, RNt, runLengthPlan, runtime, solver, SS, SysTardN, t, TardN, timedOut, TN, TNfcr, TNt, UN, UNfcr, UNt, WeightNfcr, WN, WNfcr, XN, XNt -
Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptiondoubleLog normalizing constant of the analyzed model, or NaN when none was computed.Methods inherited from class jline.solvers.SolverResult
deepCopy, reset
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Field Details
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prob
public jline.solvers.nc.NCResult.Prob prob -
lG
public double lG -
STeff
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it
public int it -
pij
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hitProb
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missProb
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spnpf
Product-form certificate of a Petri net, set by Solver_nc_spn_analyzer. -
space
Perfect-sampling output of thecftpandcftp.approxmethods, null under every other method.spaceAggrholds the distinct sampled states (one row each, stations as columns) andpitheir empirical probabilities;spaceis the same matrix asspaceAggr, since the sampler draws aggregate states.cftpSamplesholds the drawn states, one per row (samples x stations), andcftpHorizonthe per-sample coalescence horizon (cftp) or number of mixing steps (cftp.approx). Mirrors MATLABresult.cftp.samples/result.cftp.horizonand PythoncftpSamples/cftpHorizonon SolverNC. -
spaceAggr
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pi
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cftpSamples
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cftpHorizon
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cacheItemProb
Per-item occupancy of each cache node, (nitems x lists+1) keyed by node index; column 0 = miss.
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Constructor Details
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NCResult
public NCResult()
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Method Details
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logNormConstAggr
public double logNormConstAggr()Log normalizing constant of the analyzed model, or NaN when none was computed. The analyzers park it in the package-privateprobblock and leave the flatlGat its zero default, so a caller outside this package that reads the field alone gets 0 for every solve.- Returns:
- log g(N), or NaN
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