Package jline.solvers
Class Solver
java.lang.Object
jline.solvers.Solver
- Direct Known Subclasses:
EnsembleSolver,NetworkSolver,SolverLQNS
Abstract base class for model solution algorithms and analysis tools.
This class provides the fundamental infrastructure for solving queueing models using various analytical and simulation algorithms. It manages solver configuration, result storage, random number generation, and validation of solver options.
Concrete implementations must provide the runAnalyzer() method to perform
the actual model solution.
- See Also:
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Field Summary
FieldsModifier and TypeFieldDescriptionbooleanFlag controlling whether to perform validation checksThe model to be solvedName identifier for this solver instanceConfiguration options for the solverRandom number generator for stochastic algorithmsResults from the most recent solver execution -
Constructor Summary
ConstructorsModifierConstructorDescriptionprotectedConstructs a solver with the specified name using default options.protectedSolver(String name, SolverOptions options) Constructs a solver with the specified name and options.protectedSolver(Model model, String name, SolverOptions options) Constructs a solver with the specified model, name, and options. -
Method Summary
Modifier and TypeMethodDescriptionstatic SolverOptionsReturns a new SolverOptions instance with default settings.getMethodFeatureSet(String method) Per-method feature set, or null to signal "this solver does not diverge per method" (the coarse supports(model) is then used, preserving any structural checks it carries).getName()Returns the name identifier of this solver.Returns the current solver options.Returns the results from the most recent solver execution.booleanChecks if the solver has computed results.booleanChecks if Java runtime is available for solver execution.booleanChecks whether the solver, with its currently configured method, returns stochastic estimates, i.e.booleanisStochasticMethod(String method) Classifies a (possibly runtime-resolved) method name of this solver as stochastic.booleanisValidOption(String optName) Checks if the specified option name is valid for this solver.Returns lists of valid options and methods supported by solvers.static SolverOptionsparseOptions(Object... varargin) Parses option parameters into a SolverOptions data structure.static SolverOptionsparseOptions(SolverOptions options, Object... varargin) Parses option parameters into an existing SolverOptions instance.voidreset()Clears previously stored results and resets the random number generator.voidresetRandomGeneratorSeed(long seed) Assigns a new seed to the random number generator.resolveMethod(SolverOptions options) Resolve the concrete method that will run.abstract voidExecutes the solver algorithm to analyze the model.voidrunAnalyzerChecks(SolverOptions options) Performs validation checks before running the analyzer.selectMethod(List<String> preferenceList) Feature-driven method selection: returns the first method in preferenceList whose per-method feature set covers the model, or the last entry when none fully covers (the gate then reports the precise features).voidsetChecks(boolean bool) Enables or disables validation checks during solver execution.voidsetOptions(SolverOptions options) Sets new solver options.booleanChecks if this solver supports the given network model.supportsModelMethod(String method) Fine, method-aware gate.static booleantimeExceeded(long startNanos, double timeoutSeconds) Tests whether a wall-clock time budget has been exceeded.
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Field Details
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model
The model to be solved -
name
Name identifier for this solver instance -
options
Configuration options for the solver -
result
Results from the most recent solver execution -
enableChecks
public boolean enableChecksFlag controlling whether to perform validation checks -
random
Random number generator for stochastic algorithms
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Constructor Details
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Solver
Constructs a solver with the specified name and options.- Parameters:
name- the solver name identifieroptions- configuration options for the solver
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Solver
Constructs a solver with the specified model, name, and options.- Parameters:
model- the model to be solvedname- the solver name identifieroptions- configuration options for the solver
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Solver
Constructs a solver with the specified name using default options.- Parameters:
name- the solver name identifier
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Method Details
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defaultOptions
Returns a new SolverOptions instance with default settings.- Returns:
- default solver options
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listValidOptions
Returns lists of valid options and methods supported by solvers.- Returns:
- map containing "allOptions" and "allMethods" lists
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parseOptions
Parses option parameters into a SolverOptions data structure.- Parameters:
varargin- variable arguments in key-value pairs- Returns:
- parsed solver options
- Throws:
IllegalArgumentException- if arguments are invalid
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parseOptions
public static SolverOptions parseOptions(SolverOptions options, Object... varargin) throws IllegalArgumentException Parses option parameters into an existing SolverOptions instance.- Parameters:
options- existing options object to modifyvarargin- variable arguments in key-value pairs- Returns:
- modified solver options
- Throws:
IllegalArgumentException- if arguments are invalid
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getName
Returns the name identifier of this solver.- Returns:
- the solver name
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getOptions
Returns the current solver options.- Returns:
- the solver options
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setOptions
Sets new solver options.- Parameters:
options- the new solver options to set
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getResults
Returns the results from the most recent solver execution.- Returns:
- the solver results
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hasResults
public boolean hasResults()Checks if the solver has computed results.- Returns:
- true if results are available, false otherwise
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isStochastic
public boolean isStochastic()Checks whether the solver, with its currently configured method, returns stochastic estimates, i.e. results that depend on the random seed, as in simulation or Monte Carlo integration.A solver run with method "default" may resolve the actual method only at runtime; once results are available the classification therefore uses the method recorded in
result.method(e.g. "default/imci" when the NC default path resolved to Monte Carlo integration).- Returns:
- true if the solver returns stochastic estimates
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isStochasticMethod
Classifies a (possibly runtime-resolved) method name of this solver as stochastic. Deterministic by default; subclasses with simulation-based or sampling-based methods override this.- Parameters:
method- the method name to classify- Returns:
- true if the method returns stochastic estimates
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isJavaAvailable
public boolean isJavaAvailable()Checks if Java runtime is available for solver execution. Always returns true in this Java implementation.- Returns:
- true indicating Java is available
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isValidOption
Checks if the specified option name is valid for this solver.- Parameters:
optName- the option name to validate- Returns:
- true if the option is valid, false otherwise
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reset
public void reset()Clears previously stored results and resets the random number generator. -
resetRandomGeneratorSeed
public void resetRandomGeneratorSeed(long seed) Assigns a new seed to the random number generator. This sets the master seed for all random number generation in the system.- Parameters:
seed- the seed value for random number generation
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runAnalyzer
public abstract void runAnalyzer() throws IllegalAccessException, ParserConfigurationException, IOExceptionExecutes the solver algorithm to analyze the model. This abstract method must be implemented by concrete solver classes.- Throws:
IllegalAccessException- if access to required resources is deniedParserConfigurationException- if XML parsing configuration failsIOException- if I/O operations fail
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timeExceeded
public static boolean timeExceeded(long startNanos, double timeoutSeconds) Tests whether a wall-clock time budget has been exceeded. Used as a cooperative checkpoint inside iterative solver loops.- Parameters:
startNanos- value of System.nanoTime() captured at solver launchtimeoutSeconds- wall-clock budget in seconds (Double.POSITIVE_INFINITY = no budget)- Returns:
- true if (now - startNanos) exceeds timeoutSeconds
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runAnalyzerChecks
Performs validation checks before running the analyzer. Verifies model compatibility and method validity.- Parameters:
options- the solver options to validate- Throws:
RuntimeException- if validation fails
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resolveMethod
Resolve the concrete method that will run. Base behavior returns options.method unchanged; solvers that perform feature-driven selection for options.method='default' override this (typically via selectMethod).- Parameters:
options- the solver options- Returns:
- the concrete method name
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getMethodFeatureSet
Per-method feature set, or null to signal "this solver does not diverge per method" (the coarse supports(model) is then used, preserving any structural checks it carries). Divergent solvers (e.g. MVA, MAM, NC) override this to return the base envelope with per-method deltas applied.- Parameters:
method- the concrete method name- Returns:
- the per-method FeatureSet, or null
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supportsModelMethod
Fine, method-aware gate. Returns an empty string when the model fits the concrete METHOD, else a human-readable reason. Base behavior derives the answer from getMethodFeatureSet(method); when that is null the solver's own supports(model) is used. Solvers with non-feature-set structural per-method rules override this.- Parameters:
method- the concrete method name- Returns:
- empty string if supported, else the offending reason
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selectMethod
Feature-driven method selection: returns the first method in preferenceList whose per-method feature set covers the model, or the last entry when none fully covers (the gate then reports the precise features).- Parameters:
preferenceList- ordered candidate methods- Returns:
- the selected method name
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setChecks
public void setChecks(boolean bool) Enables or disables validation checks during solver execution.- Parameters:
bool- true to enable checks, false to disable
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supports
Checks if this solver supports the given network model. Default implementation returns true; subclasses should override to provide specific feature validation.- Parameters:
model- the network model to check- Returns:
- true if the model is supported, false otherwise
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