Package jline.solvers.mva
Class MVAOptions
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- All Implemented Interfaces:
public class MVAOptions extends SolverOptions
Configuration options for Mean Value Analysis (MVA) solver.
MVAOptions extends the base solver options to provide MVA-specific configuration parameters. MVA is an exact analytical method for computing steady-state performance measures of closed queueing networks with product-form solutions.
Key MVA characteristics:
- Exact results for product-form networks
- Efficient for moderate network sizes
- Supports multi-class closed networks
- Handles load-independent and load-dependent servers
- Since:
1.0
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Field Summary
Fields Modifier and Type Field Description public booleancachepublic Matrixcutoffpublic SolverOptions.Configconfigpublic booleanforcepublic booleanhide_immediatepublic Matrixinit_solpublic intiter_maxpublic doubleiter_tolpublic doubletolpublic booleankeeppublic Stringlangpublic Stringmethodpublic booleanremotepublic Stringremote_endpointpublic SolverOptions.ODESolversodesolverspublic intsamplespublic intseedpublic booleanstiffpublic Array<double>timespanpublic Doubletimesteppublic VerboseLevelverbose
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Constructor Summary
Constructors Constructor Description MVAOptions()Constructs a new MVAOptions instance with default MVA solver configuration.
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Method Summary
Modifier and Type Method Description -
Methods inherited from class jline.solvers.SolverOptions
copy, cutoff, cutoff, cutoff, force, getCutoffMatrix, keep, method, samples, seed, setODEMaxStep, setODEMinStep, verbose, verbose -
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
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