Uses of Class
jline.lang.processes.MarkovProcess
Packages that use MarkovProcess
Package
Description
This package contains processes and statistical distributions used to specify arrival rates, service rates, and item popularities
This package provides an implementation of SolverCTMC.
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Uses of MarkovProcess in jline.lang.processes
Subclasses of MarkovProcess in jline.lang.processesModifier and TypeClassDescriptionclassA class for continuous time Markov chain where transitions are labeledMethods in jline.lang.processes that return MarkovProcessModifier and TypeMethodDescriptionstatic MarkovProcessMarkovProcess.fromSampleSysAggr(Object sa) Create CTMC from sample system aggregation (dispatches based on input type).static MarkovProcessMarkovProcess.fromSampleSysAggr(Ret.SampleResult sa) Create CTMC from a SampleResult containing multi-node state trajectories.static MarkovProcessMarkovProcess.fromSampleSysAggr(Matrix samples) Create CTMC from sample system aggregation (assuming unit sojourn times)static MarkovProcessMarkovProcess.fromSampleSysAggr(Matrix samples, Matrix sojournTimes) Create CTMC from sample system aggregationstatic MarkovProcessMarkovProcess.fromSampleSysAggr(Matrix samples, Matrix sojournTimes, int numStates) Create CTMC from sample system aggregationstatic MarkovProcessMarkovProcess.rand(int nStates) Create a random CTMCMarkovChain.toCTMC()Convert to CTMC by subtracting identity matrixMarkovProcess.toTimeReversed()Get time-reversed CTMC -
Uses of MarkovProcess in jline.solvers.ctmc
Constructors in jline.solvers.ctmc with parameters of type MarkovProcessModifierConstructorDescriptionSolverCTMC(MarkovProcess chain, Object... args) Solves a user-supplied CTMC directly, bypassing state-space generation.SolverCTMC(MarkovProcess chain, SolverOptions options) Solves a user-supplied CTMC directly, bypassing state-space generation.