All Implemented Interfaces:
```
public abstract class NetworkSolver
extends Solver
                    
```
Abstract base class for solvers applicable to queueing network models.
This class provides the core functionality for analyzing queueing networks using various solution algorithms. It manages performance metrics computation including queue lengths, utilizations, response times, throughputs, and arrival rates at both steady-state and transient conditions.
The solver operates on Network models and produces results through various table formats for different levels of aggregation (station-level, node-level, chain-level).

Nested Class Summary

Nested Classes
Modifier and Type	Class	Description

Field Summary

Fields
Modifier and Type	Field	Description
`public Network`	`model`
`public NetworkStruct`	`sn`
`public SolverAvgHandles`	`avgHandles`
`public SolverTranHandles`	`tranHandles`
`public Model`	`model`
`public String`	`name`
`public SolverOptions`	`options`
`public SolverResult`	`result`
`public boolean`	`enableChecks`
`public Random`	`random`

Constructor Summary

Constructors
Constructor	Description
`NetworkSolver(Network model, String name, SolverOptions options)`	Constructs a NetworkSolver with the specified model, name, and options.
`NetworkSolver(Network model, String name)`	Constructs a NetworkSolver with the specified model and name using default options.

Enum Constant Summary

Enum Constants
Enum Constant	Description

Method Summary

Modifier and Type	Method	Description
`static List<NetworkSolver>`	`getAllSolvers(Network model)`	Returns a list containing instances of all available network solvers for the given model.
`SolverResult`	`avg()`
`SolverResult`	`avg(SolverAvgHandles avgHandles)`
`SolverResult`	`avg(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A)`
`Matrix`	`avgArvR()`
`Matrix`	`avgArvRChain()`
`AvgHandle`	`avgArvRHandles()`
`SolverResult`	`avgChain()`
`NetworkAvgChainTable`	`avgChainTable()`
`NetworkAvgChainTable`	`avgChainTable(SolverAvgHandles avgHandles)`
`NetworkAvgChainTable`	`avgChainTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A)`
`NetworkAvgChainTable`	`avgChainTable(boolean keepDisabled)`
`NetworkAvgChainTable`	`avgChainTable(SolverAvgHandles avgHandles, boolean keepDisabled)`
`NetworkAvgChainTable`	`avgChainTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A, boolean keepDisabled)`
`SolverAvgHandles`	`avgHandles()`
`SolverResult`	`avgNode()`
`Matrix`	`avgNodeArvRChain()`
`SolverResult`	`avgNodeChain()`
`NetworkAvgNodeChainTable`	`avgNodeChainTable()`
`NetworkAvgNodeChainTable`	`avgNodeChainTable(SolverAvgHandles avgHandles)`
`NetworkAvgNodeChainTable`	`avgNodeChainTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A)`
`NetworkAvgNodeChainTable`	`avgNodeChainTable(boolean keepDisabled)`
`NetworkAvgNodeChainTable`	`avgNodeChainTable(SolverAvgHandles avgHandles, boolean keepDisabled)`
`NetworkAvgNodeChainTable`	`avgNodeChainTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A, boolean keepDisabled)`
`Matrix`	`avgNodeQLenChain()`
`Matrix`	`avgNodeResidTChain()`
`Matrix`	`avgNodeRespTChain()`
`NetworkAvgNodeTable`	`avgNodeTable()`
`NetworkAvgNodeTable`	`avgNodeTable(SolverAvgHandles avgHandles)`
`NetworkAvgNodeTable`	`avgNodeTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A)`
`NetworkAvgNodeTable`	`avgNodeTable(boolean keepDisabled)`
`NetworkAvgNodeTable`	`avgNodeTable(SolverAvgHandles avgHandles, boolean keepDisabled)`
`NetworkAvgNodeTable`	`avgNodeTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A, boolean keepDisabled)`
`Matrix`	`avgNodeTputChain()`
`Matrix`	`avgNodeUtilChain()`
`Matrix`	`avgQLen()`
`Matrix`	`avgQLenChain()`
`AvgHandle`	`avgQLenHandles()`
`Matrix`	`avgResidT()`
`Matrix`	`avgResidTChain()`
`AvgHandle`	`avgResidTHandles()`
`Matrix`	`avgRespT()`
`Matrix`	`avgRespTChain()`
`AvgHandle`	`avgRespTHandles()`
`void`	`avgSys()`
`Matrix`	`avgSysRespT()`
`NetworkAvgSysTable`	`avgSysTable()`
`NetworkAvgSysTable`	`avgSysTable(SolverAvgHandles avgHandles)`
`NetworkAvgSysTable`	`avgSysTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A)`
`Matrix`	`avgSysTput()`
`NetworkAvgTable`	`avgTable()`
`NetworkAvgTable`	`avgTable(SolverAvgHandles avgHandles)`
`NetworkAvgTable`	`avgTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A)`
`NetworkAvgTable`	`avgTable(boolean keepDisabled)`
`NetworkAvgTable`	`avgTable(SolverAvgHandles avgHandles, boolean keepDisabled)`
`NetworkAvgTable`	`avgTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A, boolean keepDisabled)`
`Matrix`	`avgTput()`
`Matrix`	`avgTputChain()`
`AvgHandle`	`avgTputHandles()`
`Matrix`	`avgUtil()`
`Matrix`	`avgUtilChain()`
`AvgHandle`	`avgUtilHandles()`
`Matrix`	`avgWaitT()`
`Ret.DistributionResult`	`cdfPassT()`
`Ret.DistributionResult`	`cdfPassT(AvgHandle R)`
`Ret.DistributionResult`	`cdfRespT()`
`Ret.DistributionResult`	`cdfRespT(AvgHandle R)`
`SolverResult`	`getAvg()`	Computes and returns average station metrics at steady-state.
`SolverResult`	`getAvg(SolverAvgHandles avgHandles)`	Computes and returns average station metrics at steady-state using specified handles.
`SolverResult`	`getAvg(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A)`	Computes and returns average station metrics at steady-state using individual handles.
`Matrix`	`getAvgArvR()`	Computes and returns average arrival rates at steady-state.
`Matrix`	`getAvgArvRChain()`	Returns average arrival rates aggregated by job chains.
`AvgHandle`	`getAvgArvRHandles()`	Returns the average arrival rate metric handles.
`SolverResult`	`getAvgChain()`	Returns average station metrics aggregated by job chains.
`NetworkAvgChainTable`	`getAvgChainTable()`	Returns a table of average station metrics aggregated by job chains.
`NetworkAvgChainTable`	`getAvgChainTable(SolverAvgHandles avgHandles)`	Returns a table of average station metrics aggregated by job chains using specified handles.
`NetworkAvgChainTable`	`getAvgChainTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A)`	Returns a table of average station metrics aggregated by job chains using individual handles.
`NetworkAvgChainTable`	`getAvgChainTable(boolean keepDisabled)`	Returns a table of average station metrics aggregated by job chains with keepDisabled option.
`NetworkAvgChainTable`	`getAvgChainTable(SolverAvgHandles avgHandles, boolean keepDisabled)`	Returns a table of average station metrics aggregated by job chains using specified handles and keepDisabled option.
`NetworkAvgChainTable`	`getAvgChainTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A, boolean keepDisabled)`	Returns a table of average station metrics aggregated by job chains using individual handles and keepDisabled option.
`SolverAvgHandles`	`getAvgHandles()`	Returns the steady-state average performance metric handles.
`void`	`setAvgHandles(SolverAvgHandles handles)`	Sets the steady-state average performance metric handles.
`SolverResult`	`getAvgNode()`	Computes average performance metrics at steady-state for all nodes.
`Matrix`	`getAvgNodeArvRChain()`	Returns average node arrival rates aggregated by job chains.
`SolverResult`	`getAvgNodeChain()`	Returns average node metrics aggregated by job chains.
`NetworkAvgNodeChainTable`	`getAvgNodeChainTable()`	Returns a table of average node metrics aggregated by chains.
`NetworkAvgNodeChainTable`	`getAvgNodeChainTable(SolverAvgHandles avgHandles)`	Returns a table of average node metrics aggregated by chains using specified handles.
`NetworkAvgNodeChainTable`	`getAvgNodeChainTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A)`	Returns a table of average node metrics aggregated by chains using individual handles.
`NetworkAvgNodeChainTable`	`getAvgNodeChainTable(boolean keepDisabled)`	Returns a table of average node metrics aggregated by chains with keepDisabled option.
`NetworkAvgNodeChainTable`	`getAvgNodeChainTable(SolverAvgHandles avgHandles, boolean keepDisabled)`	Returns a table of average node metrics aggregated by chains using specified handles and keepDisabled option.
`NetworkAvgNodeChainTable`	`getAvgNodeChainTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A, boolean keepDisabled)`	Returns a table of average node metrics aggregated by chains using individual handles and keepDisabled option.
`Matrix`	`getAvgNodeQLenChain()`	Returns average node queue lengths aggregated by job chains.
`Matrix`	`getAvgNodeResidTChain()`	Returns average node residence times aggregated by job chains.
`Matrix`	`getAvgNodeRespTChain()`	Returns average node response times aggregated by job chains.
`NetworkAvgNodeTable`	`getAvgNodeTable()`	Returns a table of average node metrics organized by job classes.
`NetworkAvgNodeTable`	`getAvgNodeTable(SolverAvgHandles avgHandles)`	Returns a table of average node metrics organized by job classes using specified handles.
`NetworkAvgNodeTable`	`getAvgNodeTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A)`	Returns a table of average node metrics organized by job classes using individual handles.
`NetworkAvgNodeTable`	`getAvgNodeTable(boolean keepDisabled)`	Returns a table of average node metrics organized by job classes with keepDisabled option.
`NetworkAvgNodeTable`	`getAvgNodeTable(SolverAvgHandles avgHandles, boolean keepDisabled)`	Returns a table of average node metrics organized by job classes using specified handles and keepDisabled option.
`NetworkAvgNodeTable`	`getAvgNodeTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A, boolean keepDisabled)`	Returns a table of average node metrics organized by job classes using individual handles and keepDisabled option.
`Matrix`	`getAvgNodeTputChain()`	Returns average node throughputs aggregated by job chains.
`Matrix`	`getAvgNodeUtilChain()`	Returns average node utilizations aggregated by job chains.
`Matrix`	`getAvgQLen()`	Computes and returns average queue lengths at steady-state.
`Matrix`	`getAvgQLenChain()`	Returns average queue lengths aggregated by job chains.
`AvgHandle`	`getAvgQLenHandles()`	Returns the average queue length metric handles.
`Matrix`	`getAvgResidT()`	Computes and returns average residence times in queue (including service).
`Matrix`	`getAvgResidTChain()`	Returns average residence times aggregated by job chains.
`AvgHandle`	`getAvgResidTHandles()`	Returns the average residence time metric handles.
`Matrix`	`getAvgRespT()`	Computes and returns average response times at steady-state.
`Matrix`	`getAvgRespTChain()`	Returns average response times aggregated by job chains.
`AvgHandle`	`getAvgRespTHandles()`	Returns the average response time metric handles.
`void`	`getAvgSys()`	Computes average system-level metrics at steady state.
`void`	`getAvgSys(SolverAvgHandles avgHandles)`	Computes average system-level metrics at steady state using specified handles.
`void`	`getAvgSys(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A)`	Computes average system-level metrics at steady state using individual handles.
`Matrix`	`getAvgSysRespT()`	Returns average system response times at steady state.
`NetworkAvgSysTable`	`getAvgSysTable()`	Returns a table of average system-level metrics.
`NetworkAvgSysTable`	`getAvgSysTable(SolverAvgHandles avgHandles)`	Returns a table of average system-level metrics using specified handles.
`NetworkAvgSysTable`	`getAvgSysTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A)`	Returns a table of average system-level metrics using individual handles.
`Matrix`	`getAvgSysTput()`	Returns average system throughputs at steady state.
`NetworkAvgTable`	`getAvgTable()`	Returns a table of average station metrics organized by job classes.
`NetworkAvgTable`	`getAvgTable(SolverAvgHandles avgHandles)`	Returns a table of average station metrics organized by job classes using specified handles.
`NetworkAvgTable`	`getAvgTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A)`	Returns a table of average station metrics organized by job classes using individual handles.
`NetworkAvgTable`	`getAvgTable(boolean keepDisabled)`	Returns a table of average station metrics organized by job classes with keepDisabled option.
`NetworkAvgTable`	`getAvgTable(SolverAvgHandles avgHandles, boolean keepDisabled)`	Returns a table of average station metrics organized by job classes using specified handles and keepDisabled option.
`NetworkAvgTable`	`getAvgTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A, boolean keepDisabled)`	Returns a table of average station metrics organized by job classes using individual handles and keepDisabled option.
`Matrix`	`getAvgTput()`	Computes and returns average throughputs at steady-state.
`Matrix`	`getAvgTputChain()`	Returns average throughputs aggregated by job chains.
`AvgHandle`	`getAvgTputHandles()`	Returns the average throughput metric handles.
`Matrix`	`getAvgUtil()`	Computes and returns average server utilizations at steady-state.
`Matrix`	`getAvgUtilChain()`	Returns average server utilizations aggregated by job chains.
`AvgHandle`	`getAvgUtilHandles()`	Returns the average utilization metric handles.
`Matrix`	`getAvgWaitT()`	Computes and returns average waiting times in queue excluding service time.
`Ret.DistributionResult`	`getCdfPassT(AvgHandle R)`	Returns cumulative distribution functions of passage times at steady-state.
`Ret.DistributionResult`	`getCdfPassT()`	Returns cumulative distribution functions of passage times at steady-state.
`Ret.DistributionResult`	`getCdfRespT(AvgHandle R)`	Returns cumulative distribution functions of response times at steady-state.
`Ret.DistributionResult`	`getCdfRespT()`	Returns cumulative distribution functions of response times at steady-state.
`Network`	`getModel()`	Returns the queueing network model being solved.
`void`	`setModel(Network model)`	Sets the queueing network model to be solved.
`Ret.ProbabilityResult`	`getProb(int node, Matrix state)`	Returns marginal state probabilities for a specific node and state.
`Ret.ProbabilityResult`	`getProb(int node)`	Returns marginal state probabilities for a specific node (all states).
`Ret.ProbabilityResult`	`getProbAggr(int node, Matrix state_a)`	Returns aggregated marginal state probabilities for a specific node.
`Ret.ProbabilityResult`	`getProbAggr(int node)`	Returns aggregated marginal state probabilities for a specific node (all states).
`Ret.ProbabilityResult`	`getProbMarg(int node, int jobclass, Matrix state_m)`	Returns marginalized state probabilities for a specific node and class.
`Ret.ProbabilityResult`	`getProbMarg(int node, int jobclass)`	Returns marginalized state probabilities for a specific node and class (all states).
`Ret.ProbabilityResult`	`getProbNormConstAggr()`	Returns the logarithm of the normalizing constant of state probabilities.
`Ret.ProbabilityResult`	`getProbSys()`	Returns joint state probabilities for the entire system.
`Ret.ProbabilityResult`	`getProbSysAggr()`	Returns aggregated joint state probabilities for the entire system.
`NetworkAvgTable`	`getStageTable()`	Returns a table of average stage metrics organized by job classes.
`NetworkAvgTable`	`getStageTable(boolean keepDisabled)`	Returns a table of average stage metrics organized by job classes with keepDisabled option.
`void`	`getTranAvg()`	Computes transient average station metrics over the specified time interval.
`Ret.DistributionResult`	`getTranCdfPassT(AvgHandle R)`	Returns cumulative distribution functions of passage times during transient analysis.
`Ret.DistributionResult`	`getTranCdfPassT()`	Returns cumulative distribution functions of passage times during transient analysis.
`Ret.DistributionResult`	`getTranCdfRespT(AvgHandle R)`	Returns cumulative distribution functions of response times during transient analysis.
`Ret.DistributionResult`	`getTranCdfRespT()`	Returns cumulative distribution functions of response times during transient analysis.
`SolverTranHandles`	`getTranHandles()`	Returns the transient performance metric handles.
`void`	`setTranHandles(SolverTranHandles handles)`	Sets the transient performance metric handles.
`boolean`	`hasAvgResults()`	Checks if the solver has computed steady-state average metrics.
`boolean`	`hasDistribResults()`	Checks if the solver has computed steady-state distribution metrics.
`boolean`	`hasTranResults()`	Checks if the solver has computed transient average metrics.
`void`	`initHandles()`	Initializes performance metric handles from the model.
`Network`	`model()`
`void`	`print()`	Detailed print function that displays all contents of the NetworkSolver.
`Ret.ProbabilityResult`	`prob(int node)`
`Ret.ProbabilityResult`	`prob(int node, Matrix state_a)`
`Ret.ProbabilityResult`	`probAggr(int node)`
`Ret.ProbabilityResult`	`probAggr(int node, Matrix state_a)`
`Ret.ProbabilityResult`	`probMarg(int node, int jobclass)`
`Ret.ProbabilityResult`	`probMarg(int node, int jobclass, Matrix state_m)`
`Ret.ProbabilityResult`	`probNormConstAggr()`
`Ret.ProbabilityResult`	`probSys()`
`Ret.ProbabilityResult`	`probSysAggr()`
`void`	`runAnalyzerChecks(SolverOptions options)`	Validates model compatibility and method support before analysis.
`Ret.SampleResult`	`sample(int node, int numEvents)`	Samples state trajectories for a specific node.
`Ret.SampleResult`	`sampleAggr(int node, int numEvents)`	Samples aggregated state trajectories for a specific node.
`Ret.SampleResult`	`sampleSys(int numEvents)`	Samples joint system state trajectories.
`Ret.SampleResult`	`sampleSysAggr(int numEvents)`	Samples aggregated joint system state trajectories.
`void`	`setAvgResults(Matrix Q, Matrix U, Matrix R, Matrix T, Matrix A, Matrix W, Matrix C, Matrix X, double runtime, String method, int iter)`	Stores computed average metrics at steady-state in the solver result.
`final void`	`setDistribResults(Matrix RD, double runtime)`	Stores distribution metrics at steady-state.
`void`	`setLang()`	Sets the language for solver execution.
`void`	`setTranAvgResults(Array<Array<Matrix>> Qt, Array<Array<Matrix>> Ut, Array<Array<Matrix>> Rt, Array<Array<Matrix>> Tt, Array<Array<Matrix>> Ct, Array<Array<Matrix>> Xt, double runtimet)`	Stores computed transient average metrics.
`final void`	`setTranProb(Matrix t, Matrix pi_t, Matrix SS, double runtimet)`	Stores transient probability distributions.
`Object`	`stageTable()`
`void`	`tranAvg()`
`Ret.DistributionResult`	`tranCdfPassT()`
`Ret.DistributionResult`	`tranCdfPassT(AvgHandle R)`
`Ret.DistributionResult`	`tranCdfRespT()`
`Ret.DistributionResult`	`tranCdfRespT(AvgHandle R)`
`SolverTranHandles`	`tranHandles()`

Methods inherited from class jline.solvers.Solver
defaultOptions, getName, getOptions, getResults, hasResults, isJavaAvailable, isValidOption, listValidOptions, parseOptions, parseOptions, reset, resetRandomGeneratorSeed, runAnalyzer, setChecks, setOptions, supports
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - NetworkSolver
```
NetworkSolver(Network model, String name, SolverOptions options)
```
    Constructs a NetworkSolver with the specified model, name, and options.
    
    Parameters:
    
    model - the queueing network model to solve
    
    name - the name identifier for this solver instance
    
    options - configuration options for the solver
  - NetworkSolver
```
NetworkSolver(Network model, String name)
```
    Constructs a NetworkSolver with the specified model and name using default options.
    
    Parameters:
    
    model - the queueing network model to solve
    
    name - the name identifier for this solver instance
- Method Detail
  - getAllSolvers
```
 static List<NetworkSolver> getAllSolvers(Network model)
```
    Returns a list containing instances of all available network solvers for the given model.
    
    Parameters:
    
    model - the queueing network model
    
    Returns:
    
    list of all available solver implementations
  - avg
```
 SolverResult avg()
```
  - avg
```
 SolverResult avg(SolverAvgHandles avgHandles)
```
  - avg
```
 SolverResult avg(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A)
```
  - avgArvR
```
 Matrix avgArvR()
```
  - avgArvRChain
```
 Matrix avgArvRChain()
```
  - avgArvRHandles
```
 AvgHandle avgArvRHandles()
```
  - avgChain
```
 SolverResult avgChain()
```
  - avgChainTable
```
 NetworkAvgChainTable avgChainTable()
```
  - avgChainTable
```
 NetworkAvgChainTable avgChainTable(SolverAvgHandles avgHandles)
```
  - avgChainTable
```
 NetworkAvgChainTable avgChainTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A)
```
  - avgChainTable
```
 NetworkAvgChainTable avgChainTable(boolean keepDisabled)
```
  - avgChainTable
```
 NetworkAvgChainTable avgChainTable(SolverAvgHandles avgHandles, boolean keepDisabled)
```
  - avgChainTable
```
 NetworkAvgChainTable avgChainTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A, boolean keepDisabled)
```
  - avgHandles
```
 SolverAvgHandles avgHandles()
```
  - avgNode
```
 SolverResult avgNode()
```
  - avgNodeArvRChain
```
 Matrix avgNodeArvRChain()
```
  - avgNodeChain
```
 SolverResult avgNodeChain()
```
  - avgNodeChainTable
```
 NetworkAvgNodeChainTable avgNodeChainTable()
```
  - avgNodeChainTable
```
 NetworkAvgNodeChainTable avgNodeChainTable(SolverAvgHandles avgHandles)
```
  - avgNodeChainTable
```
 NetworkAvgNodeChainTable avgNodeChainTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A)
```
  - avgNodeChainTable
```
 NetworkAvgNodeChainTable avgNodeChainTable(boolean keepDisabled)
```
  - avgNodeChainTable
```
 NetworkAvgNodeChainTable avgNodeChainTable(SolverAvgHandles avgHandles, boolean keepDisabled)
```
  - avgNodeChainTable
```
 NetworkAvgNodeChainTable avgNodeChainTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A, boolean keepDisabled)
```
  - avgNodeQLenChain
```
 Matrix avgNodeQLenChain()
```
  - avgNodeResidTChain
```
 Matrix avgNodeResidTChain()
```
  - avgNodeRespTChain
```
 Matrix avgNodeRespTChain()
```
  - avgNodeTable
```
 NetworkAvgNodeTable avgNodeTable()
```
  - avgNodeTable
```
 NetworkAvgNodeTable avgNodeTable(SolverAvgHandles avgHandles)
```
  - avgNodeTable
```
 NetworkAvgNodeTable avgNodeTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A)
```
  - avgNodeTable
```
 NetworkAvgNodeTable avgNodeTable(boolean keepDisabled)
```
  - avgNodeTable
```
 NetworkAvgNodeTable avgNodeTable(SolverAvgHandles avgHandles, boolean keepDisabled)
```
  - avgNodeTable
```
 NetworkAvgNodeTable avgNodeTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A, boolean keepDisabled)
```
  - avgNodeTputChain
```
 Matrix avgNodeTputChain()
```
  - avgNodeUtilChain
```
 Matrix avgNodeUtilChain()
```
  - avgQLen
```
 Matrix avgQLen()
```
  - avgQLenChain
```
 Matrix avgQLenChain()
```
  - avgQLenHandles
```
 AvgHandle avgQLenHandles()
```
  - avgResidT
```
 Matrix avgResidT()
```
  - avgResidTChain
```
 Matrix avgResidTChain()
```
  - avgResidTHandles
```
 AvgHandle avgResidTHandles()
```
  - avgRespT
```
 Matrix avgRespT()
```
  - avgRespTChain
```
 Matrix avgRespTChain()
```
  - avgRespTHandles
```
 AvgHandle avgRespTHandles()
```
  - avgSys
```
 void avgSys()
```
  - avgSysRespT
```
 Matrix avgSysRespT()
```
  - avgSysTable
```
 NetworkAvgSysTable avgSysTable()
```
  - avgSysTable
```
 NetworkAvgSysTable avgSysTable(SolverAvgHandles avgHandles)
```
  - avgSysTable
```
 NetworkAvgSysTable avgSysTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A)
```
  - avgSysTput
```
 Matrix avgSysTput()
```
  - avgTable
```
 NetworkAvgTable avgTable()
```
  - avgTable
```
 NetworkAvgTable avgTable(SolverAvgHandles avgHandles)
```
  - avgTable
```
 NetworkAvgTable avgTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A)
```
  - avgTable
```
 NetworkAvgTable avgTable(boolean keepDisabled)
```
  - avgTable
```
 NetworkAvgTable avgTable(SolverAvgHandles avgHandles, boolean keepDisabled)
```
  - avgTable
```
 NetworkAvgTable avgTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A, boolean keepDisabled)
```
  - avgTput
```
 Matrix avgTput()
```
  - avgTputChain
```
 Matrix avgTputChain()
```
  - avgTputHandles
```
 AvgHandle avgTputHandles()
```
  - avgUtil
```
 Matrix avgUtil()
```
  - avgUtilChain
```
 Matrix avgUtilChain()
```
  - avgUtilHandles
```
 AvgHandle avgUtilHandles()
```
  - avgWaitT
```
 Matrix avgWaitT()
```
  - cdfPassT
```
 Ret.DistributionResult cdfPassT()
```
  - cdfPassT
```
 Ret.DistributionResult cdfPassT(AvgHandle R)
```
  - cdfRespT
```
 Ret.DistributionResult cdfRespT()
```
  - cdfRespT
```
 Ret.DistributionResult cdfRespT(AvgHandle R)
```
  - getAvg
```
 SolverResult getAvg()
```
    Computes and returns average station metrics at steady-state. This is the main method for obtaining steady-state performance metrics.
    
    Returns:
    
    solver result containing station-level average metrics
  - getAvg
```
 SolverResult getAvg(SolverAvgHandles avgHandles)
```
    Computes and returns average station metrics at steady-state using specified handles.
    
    Parameters:
    
    avgHandles - custom handles for performance metrics
    
    Returns:
    
    solver result containing station-level average metrics
  - getAvg
```
 SolverResult getAvg(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A)
```
    Computes and returns average station metrics at steady-state using individual handles.
    
    Parameters:
    
    Q - queue length handle
    
    U - utilization handle
    
    R - response time handle
    
    W - residence time handle
    
    T - throughput handle
    
    A - arrival rate handle
    
    Returns:
    
    solver result containing station-level average metrics
  - getAvgArvR
```
 Matrix getAvgArvR()
```
    Computes and returns average arrival rates at steady-state. If results are not available, triggers solver execution.
    
    Returns:
    
    matrix of average arrival rates [stations x classes]
  - getAvgArvRChain
```
 Matrix getAvgArvRChain()
```
    Returns average arrival rates aggregated by job chains.
    
    Returns:
    
    matrix of arrival rates [stations x chains]
  - getAvgArvRHandles
```
 AvgHandle getAvgArvRHandles()
```
    Returns the average arrival rate metric handles.
    
    Returns:
    
    handles for arrival rate metrics
  - getAvgChain
```
 SolverResult getAvgChain()
```
    Returns average station metrics aggregated by job chains.
    
    Returns:
    
    solver result with metrics aggregated by chains
  - getAvgChainTable
```
 NetworkAvgChainTable getAvgChainTable()
```
    Returns a table of average station metrics aggregated by job chains.
    
    Returns:
    
    table containing station metrics organized by chains
  - getAvgChainTable
```
 NetworkAvgChainTable getAvgChainTable(SolverAvgHandles avgHandles)
```
    Returns a table of average station metrics aggregated by job chains using specified handles.
    
    Parameters:
    
    avgHandles - custom handles for performance metrics
    
    Returns:
    
    table containing station metrics organized by chains
  - getAvgChainTable
```
 NetworkAvgChainTable getAvgChainTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A)
```
    Returns a table of average station metrics aggregated by job chains using individual handles.
    
    Parameters:
    
    Q - queue length handle
    
    U - utilization handle
    
    R - response time handle
    
    W - residence time handle
    
    T - throughput handle
    
    A - arrival rate handle
    
    Returns:
    
    table containing station metrics organized by chains
  - getAvgChainTable
```
 NetworkAvgChainTable getAvgChainTable(boolean keepDisabled)
```
    Returns a table of average station metrics aggregated by job chains with keepDisabled option.
    
    Parameters:
    
    keepDisabled - whether to include disabled metrics in the table
    
    Returns:
    
    table containing station metrics organized by chains
  - getAvgChainTable
```
 NetworkAvgChainTable getAvgChainTable(SolverAvgHandles avgHandles, boolean keepDisabled)
```
    Returns a table of average station metrics aggregated by job chains using specified handles and keepDisabled option.
    
    Parameters:
    
    avgHandles - custom handles for performance metrics
    
    keepDisabled - whether to include disabled metrics in the table
    
    Returns:
    
    table containing station metrics organized by chains
  - getAvgChainTable
```
 NetworkAvgChainTable getAvgChainTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A, boolean keepDisabled)
```
    Returns a table of average station metrics aggregated by job chains using individual handles and keepDisabled option.
    
    Parameters:
    
    Q - queue length handle
    
    U - utilization handle
    
    R - response time handle
    
    W - residence time handle
    
    T - throughput handle
    
    A - arrival rate handle
    
    keepDisabled - whether to include disabled metrics in the table
    
    Returns:
    
    table containing station metrics organized by chains
  - getAvgHandles
```
 SolverAvgHandles getAvgHandles()
```
    Returns the steady-state average performance metric handles.
    
    Returns:
    
    the average handles object
  - setAvgHandles
```
 void setAvgHandles(SolverAvgHandles handles)
```
    Sets the steady-state average performance metric handles.
    
    Parameters:
    
    handles - the average handles to set
  - getAvgNode
```
 SolverResult getAvgNode()
```
    Computes average performance metrics at steady-state for all nodes. This method aggregates station-level metrics to node-level metrics.
    
    Returns:
    
    solver result containing node-level average metrics
  - getAvgNodeArvRChain
```
 Matrix getAvgNodeArvRChain()
```
    Returns average node arrival rates aggregated by job chains.
    
    Returns:
    
    matrix of node arrival rates [nodes x chains]
  - getAvgNodeChain
```
 SolverResult getAvgNodeChain()
```
    Returns average node metrics aggregated by job chains.
    
    Returns:
    
    solver result with node metrics aggregated by chains
  - getAvgNodeChainTable
```
 NetworkAvgNodeChainTable getAvgNodeChainTable()
```
    Returns a table of average node metrics aggregated by chains.
    
    Returns:
    
    table containing node-level metrics organized by job chains
  - getAvgNodeChainTable
```
 NetworkAvgNodeChainTable getAvgNodeChainTable(SolverAvgHandles avgHandles)
```
    Returns a table of average node metrics aggregated by chains using specified handles.
    
    Parameters:
    
    avgHandles - custom handles for performance metrics
    
    Returns:
    
    table containing node-level metrics organized by job chains
  - getAvgNodeChainTable
```
 NetworkAvgNodeChainTable getAvgNodeChainTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A)
```
    Returns a table of average node metrics aggregated by chains using individual handles.
    
    Parameters:
    
    Q - queue length handle
    
    U - utilization handle
    
    R - response time handle
    
    W - residence time handle
    
    T - throughput handle
    
    A - arrival rate handle
    
    Returns:
    
    table containing node-level metrics organized by job chains
  - getAvgNodeChainTable
```
 NetworkAvgNodeChainTable getAvgNodeChainTable(boolean keepDisabled)
```
    Returns a table of average node metrics aggregated by chains with keepDisabled option.
    
    Parameters:
    
    keepDisabled - whether to include disabled metrics in the table
    
    Returns:
    
    table containing node-level metrics organized by job chains
  - getAvgNodeChainTable
```
 NetworkAvgNodeChainTable getAvgNodeChainTable(SolverAvgHandles avgHandles, boolean keepDisabled)
```
    Returns a table of average node metrics aggregated by chains using specified handles and keepDisabled option.
    
    Parameters:
    
    avgHandles - custom handles for performance metrics
    
    keepDisabled - whether to include disabled metrics in the table
    
    Returns:
    
    table containing node-level metrics organized by job chains
  - getAvgNodeChainTable
```
 NetworkAvgNodeChainTable getAvgNodeChainTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A, boolean keepDisabled)
```
    Returns a table of average node metrics aggregated by chains using individual handles and keepDisabled option.
    
    Parameters:
    
    Q - queue length handle
    
    U - utilization handle
    
    R - response time handle
    
    W - residence time handle
    
    T - throughput handle
    
    A - arrival rate handle
    
    keepDisabled - whether to include disabled metrics in the table
    
    Returns:
    
    table containing node-level metrics organized by job chains
  - getAvgNodeQLenChain
```
 Matrix getAvgNodeQLenChain()
```
    Returns average node queue lengths aggregated by job chains.
    
    Returns:
    
    matrix of node queue lengths [nodes x chains]
  - getAvgNodeResidTChain
```
 Matrix getAvgNodeResidTChain()
```
    Returns average node residence times aggregated by job chains.
    
    Returns:
    
    matrix of node residence times [nodes x chains]
  - getAvgNodeRespTChain
```
 Matrix getAvgNodeRespTChain()
```
    Returns average node response times aggregated by job chains.
    
    Returns:
    
    matrix of node response times [nodes x chains]
  - getAvgNodeTable
```
 NetworkAvgNodeTable getAvgNodeTable()
```
    Returns a table of average node metrics organized by job classes.
    
    Returns:
    
    table containing node-level metrics for each class
  - getAvgNodeTable
```
 NetworkAvgNodeTable getAvgNodeTable(SolverAvgHandles avgHandles)
```
    Returns a table of average node metrics organized by job classes using specified handles.
    
    Parameters:
    
    avgHandles - custom handles for performance metrics
    
    Returns:
    
    table containing node-level metrics for each class
  - getAvgNodeTable
```
 NetworkAvgNodeTable getAvgNodeTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A)
```
    Returns a table of average node metrics organized by job classes using individual handles.
    
    Parameters:
    
    Q - queue length handle
    
    U - utilization handle
    
    R - response time handle
    
    W - residence time handle
    
    T - throughput handle
    
    A - arrival rate handle
    
    Returns:
    
    table containing node-level metrics for each class
  - getAvgNodeTable
```
 NetworkAvgNodeTable getAvgNodeTable(boolean keepDisabled)
```
    Returns a table of average node metrics organized by job classes with keepDisabled option.
    
    Parameters:
    
    keepDisabled - whether to include disabled metrics in the table
    
    Returns:
    
    table containing node-level metrics for each class
  - getAvgNodeTable
```
 NetworkAvgNodeTable getAvgNodeTable(SolverAvgHandles avgHandles, boolean keepDisabled)
```
    Returns a table of average node metrics organized by job classes using specified handles and keepDisabled option.
    
    Parameters:
    
    avgHandles - custom handles for performance metrics
    
    keepDisabled - whether to include disabled metrics in the table
    
    Returns:
    
    table containing node-level metrics for each class
  - getAvgNodeTable
```
 NetworkAvgNodeTable getAvgNodeTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A, boolean keepDisabled)
```
    Returns a table of average node metrics organized by job classes using individual handles and keepDisabled option.
    
    Parameters:
    
    Q - queue length handle
    
    U - utilization handle
    
    R - response time handle
    
    W - residence time handle
    
    T - throughput handle
    
    A - arrival rate handle
    
    keepDisabled - whether to include disabled metrics in the table
    
    Returns:
    
    table containing node-level metrics for each class
  - getAvgNodeTputChain
```
 Matrix getAvgNodeTputChain()
```
    Returns average node throughputs aggregated by job chains.
    
    Returns:
    
    matrix of node throughputs [nodes x chains]
  - getAvgNodeUtilChain
```
 Matrix getAvgNodeUtilChain()
```
    Returns average node utilizations aggregated by job chains.
    
    Returns:
    
    matrix of node utilizations [nodes x chains]
  - getAvgQLen
```
 Matrix getAvgQLen()
```
    Computes and returns average queue lengths at steady-state. If results are not available, triggers solver execution.
    
    Returns:
    
    matrix of average queue lengths [stations x classes]
  - getAvgQLenChain
```
 Matrix getAvgQLenChain()
```
    Returns average queue lengths aggregated by job chains.
    
    Returns:
    
    matrix of queue lengths [stations x chains]
  - getAvgQLenHandles
```
 AvgHandle getAvgQLenHandles()
```
    Returns the average queue length metric handles.
    
    Returns:
    
    handles for queue length metrics
  - getAvgResidT
```
 Matrix getAvgResidT()
```
    Computes and returns average residence times in queue (including service). If results are not available, triggers solver execution.
    
    Returns:
    
    matrix of average residence times [stations x classes]
  - getAvgResidTChain
```
 Matrix getAvgResidTChain()
```
    Returns average residence times aggregated by job chains.
    
    Returns:
    
    matrix of residence times [stations x chains]
  - getAvgResidTHandles
```
 AvgHandle getAvgResidTHandles()
```
    Returns the average residence time metric handles.
    
    Returns:
    
    handles for residence time metrics
  - getAvgRespT
```
 Matrix getAvgRespT()
```
    Computes and returns average response times at steady-state. If results are not available, triggers solver execution.
    
    Returns:
    
    matrix of average response times [stations x classes]
  - getAvgRespTChain
```
 Matrix getAvgRespTChain()
```
    Returns average response times aggregated by job chains.
    
    Returns:
    
    matrix of response times [stations x chains]
  - getAvgRespTHandles
```
 AvgHandle getAvgRespTHandles()
```
    Returns the average response time metric handles.
    
    Returns:
    
    handles for response time metrics
  - getAvgSys
```
 void getAvgSys()
```
    Computes average system-level metrics at steady state. This includes system response times and throughputs aggregated across all chains.
  - getAvgSys
```
 void getAvgSys(SolverAvgHandles avgHandles)
```
    Computes average system-level metrics at steady state using specified handles. This includes system response times and throughputs aggregated across all chains.
    
    Parameters:
    
    avgHandles - custom handles for performance metrics
  - getAvgSys
```
 void getAvgSys(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A)
```
    Computes average system-level metrics at steady state using individual handles. This includes system response times and throughputs aggregated across all chains.
    
    Parameters:
    
    Q - queue length handle
    
    U - utilization handle
    
    R - response time handle
    
    W - residence time handle
    
    T - throughput handle
    
    A - arrival rate handle
  - getAvgSysRespT
```
 Matrix getAvgSysRespT()
```
    Returns average system response times at steady state.
    
    Returns:
    
    matrix of system response times by chain
  - getAvgSysTable
```
 NetworkAvgSysTable getAvgSysTable()
```
    Returns a table of average system-level metrics.
    
    Returns:
    
    table containing system response times and throughputs by chain
  - getAvgSysTable
```
 NetworkAvgSysTable getAvgSysTable(SolverAvgHandles avgHandles)
```
    Returns a table of average system-level metrics using specified handles.
    
    Parameters:
    
    avgHandles - custom handles for performance metrics
    
    Returns:
    
    table containing system response times and throughputs by chain
  - getAvgSysTable
```
 NetworkAvgSysTable getAvgSysTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A)
```
    Returns a table of average system-level metrics using individual handles.
    
    Parameters:
    
    Q - queue length handle
    
    U - utilization handle
    
    R - response time handle
    
    W - residence time handle
    
    T - throughput handle
    
    A - arrival rate handle
    
    Returns:
    
    table containing system response times and throughputs by chain
  - getAvgSysTput
```
 Matrix getAvgSysTput()
```
    Returns average system throughputs at steady state.
    
    Returns:
    
    matrix of system throughputs by chain
  - getAvgTable
```
 NetworkAvgTable getAvgTable()
```
    Returns a table of average station metrics organized by job classes.
    
    Returns:
    
    table containing station-level metrics for each class
  - getAvgTable
```
 NetworkAvgTable getAvgTable(SolverAvgHandles avgHandles)
```
    Returns a table of average station metrics organized by job classes using specified handles.
    
    Parameters:
    
    avgHandles - custom handles for performance metrics
    
    Returns:
    
    table containing station-level metrics for each class
  - getAvgTable
```
 NetworkAvgTable getAvgTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A)
```
    Returns a table of average station metrics organized by job classes using individual handles.
    
    Parameters:
    
    Q - queue length handle
    
    U - utilization handle
    
    R - response time handle
    
    W - residence time handle
    
    T - throughput handle
    
    A - arrival rate handle
    
    Returns:
    
    table containing station-level metrics for each class
  - getAvgTable
```
 NetworkAvgTable getAvgTable(boolean keepDisabled)
```
    Returns a table of average station metrics organized by job classes with keepDisabled option.
    
    Parameters:
    
    keepDisabled - whether to include disabled metrics in the table
    
    Returns:
    
    table containing station-level metrics for each class
  - getAvgTable
```
 NetworkAvgTable getAvgTable(SolverAvgHandles avgHandles, boolean keepDisabled)
```
    Returns a table of average station metrics organized by job classes using specified handles and keepDisabled option.
    
    Parameters:
    
    avgHandles - custom handles for performance metrics
    
    keepDisabled - whether to include disabled metrics in the table
    
    Returns:
    
    table containing station-level metrics for each class
  - getAvgTable
```
 NetworkAvgTable getAvgTable(AvgHandle Q, AvgHandle U, AvgHandle R, AvgHandle W, AvgHandle T, AvgHandle A, boolean keepDisabled)
```
    Returns a table of average station metrics organized by job classes using individual handles and keepDisabled option.
    
    Parameters:
    
    Q - queue length handle
    
    U - utilization handle
    
    R - response time handle
    
    W - residence time handle
    
    T - throughput handle
    
    A - arrival rate handle
    
    keepDisabled - whether to include disabled metrics in the table
    
    Returns:
    
    table containing station-level metrics for each class
  - getAvgTput
```
 Matrix getAvgTput()
```
    Computes and returns average throughputs at steady-state. If results are not available, triggers solver execution.
    
    Returns:
    
    matrix of average throughputs [stations x classes]
  - getAvgTputChain
```
 Matrix getAvgTputChain()
```
    Returns average throughputs aggregated by job chains.
    
    Returns:
    
    matrix of throughputs [stations x chains]
  - getAvgTputHandles
```
 AvgHandle getAvgTputHandles()
```
    Returns the average throughput metric handles.
    
    Returns:
    
    handles for throughput metrics
  - getAvgUtil
```
 Matrix getAvgUtil()
```
    Computes and returns average server utilizations at steady-state. If results are not available, triggers solver execution.
    
    Returns:
    
    matrix of average utilizations [stations x classes]
  - getAvgUtilChain
```
 Matrix getAvgUtilChain()
```
    Returns average server utilizations aggregated by job chains.
    
    Returns:
    
    matrix of utilizations [stations x chains]
  - getAvgUtilHandles
```
 AvgHandle getAvgUtilHandles()
```
    Returns the average utilization metric handles.
    
    Returns:
    
    handles for utilization metrics
  - getAvgWaitT
```
 Matrix getAvgWaitT()
```
    Computes and returns average waiting times in queue excluding service time. Waiting time = Response time - Service time (1/rate)
    
    Returns:
    
    matrix of average waiting times [stations x classes]
  - getCdfPassT
```
 Ret.DistributionResult getCdfPassT(AvgHandle R)
```
    Returns cumulative distribution functions of passage times at steady-state. This is an abstract method that must be implemented by concrete solver subclasses.
    
    Parameters:
    
    R - response time handles (optional)
    
    Returns:
    
    result containing CDFs for passage times
  - getCdfPassT
```
 Ret.DistributionResult getCdfPassT()
```
    Returns cumulative distribution functions of passage times at steady-state. Uses default response time handles.
    
    Returns:
    
    result containing CDFs for passage times
  - getCdfRespT
```
 Ret.DistributionResult getCdfRespT(AvgHandle R)
```
    Returns cumulative distribution functions of response times at steady-state. This is an abstract method that must be implemented by concrete solver subclasses.
    
    Parameters:
    
    R - response time handles (optional)
    
    Returns:
    
    result containing CDFs for response times [stations x classes]
  - getCdfRespT
```
 Ret.DistributionResult getCdfRespT()
```
    Returns cumulative distribution functions of response times at steady-state. Uses default response time handles.
    
    Returns:
    
    result containing CDFs for response times [stations x classes]
  - getModel
```
 Network getModel()
```
    Returns the queueing network model being solved.
    
    Returns:
    
    the network model
  - setModel
```
 void setModel(Network model)
```
    Sets the queueing network model to be solved.
    
    Parameters:
    
    model - the network model to set
  - getProb
```
 Ret.ProbabilityResult getProb(int node, Matrix state)
```
    Returns marginal state probabilities for a specific node and state. This is an abstract method that must be implemented by concrete solver subclasses.
    
    Parameters:
    
    node - the node index for which to compute probabilities
    
    state - the state vector to query (optional, null for all states)
    
    Returns:
    
    result containing marginal state probabilities
  - getProb
```
 Ret.ProbabilityResult getProb(int node)
```
    Returns marginal state probabilities for a specific node (all states). This is an abstract method that must be implemented by concrete solver subclasses.
    
    Parameters:
    
    node - the node index for which to compute probabilities
    
    Returns:
    
    result containing marginal state probabilities
  - getProbAggr
```
 Ret.ProbabilityResult getProbAggr(int node, Matrix state_a)
```
    Returns aggregated marginal state probabilities for a specific node. This is an abstract method that must be implemented by concrete solver subclasses.
    
    Parameters:
    
    node - the node index for which to compute probabilities
    
    state_a - the aggregated state vector to query (optional, null for all states)
    
    Returns:
    
    result containing aggregated marginal state probabilities
  - getProbAggr
```
 Ret.ProbabilityResult getProbAggr(int node)
```
    Returns aggregated marginal state probabilities for a specific node (all states). This is an abstract method that must be implemented by concrete solver subclasses.
    
    Parameters:
    
    node - the node index for which to compute probabilities
    
    Returns:
    
    result containing aggregated marginal state probabilities
  - getProbMarg
```
 Ret.ProbabilityResult getProbMarg(int node, int jobclass, Matrix state_m)
```
    Returns marginalized state probabilities for a specific node and class. This computes probabilities marginalized on a given class, in contrast to getProbAggr which aggregates over all classes.
    
    Parameters:
    
    node - the node index for which to compute probabilities
    
    jobclass - the job class index for marginalization
    
    state_m - the marginalized state vector to query (optional, null for all states)
    
    Returns:
    
    result containing marginalized state probabilities
  - getProbMarg
```
 Ret.ProbabilityResult getProbMarg(int node, int jobclass)
```
    Returns marginalized state probabilities for a specific node and class (all states). This is an abstract method that must be implemented by concrete solver subclasses.
    
    Parameters:
    
    node - the node index for which to compute probabilities
    
    jobclass - the job class index for marginalization
    
    Returns:
    
    result containing marginalized state probabilities
  - getProbNormConstAggr
```
 Ret.ProbabilityResult getProbNormConstAggr()
```
    Returns the logarithm of the normalizing constant of state probabilities. This is an abstract method that must be implemented by concrete solver subclasses.
    
    Returns:
    
    result containing the log normalizing constant
  - getProbSys
```
 Ret.ProbabilityResult getProbSys()
```
    Returns joint state probabilities for the entire system. This is an abstract method that must be implemented by concrete solver subclasses.
    
    Returns:
    
    result containing joint state probabilities
  - getProbSysAggr
```
 Ret.ProbabilityResult getProbSysAggr()
```
    Returns aggregated joint state probabilities for the entire system. This is an abstract method that must be implemented by concrete solver subclasses.
    
    Returns:
    
    result containing aggregated joint state probabilities
  - getStageTable
```
 NetworkAvgTable getStageTable()
```
    Returns a table of average stage metrics organized by job classes. Note: This method is not yet fully implemented and will throw an exception.
    
    Returns:
    
    table containing stage-level metrics for each class
  - getStageTable
```
 NetworkAvgTable getStageTable(boolean keepDisabled)
```
    Returns a table of average stage metrics organized by job classes with keepDisabled option. Note: This method is not yet fully implemented and will throw an exception.
    
    Parameters:
    
    keepDisabled - whether to include disabled metrics in the table
    
    Returns:
    
    table containing stage-level metrics for each class
  - getTranAvg
```
 void getTranAvg()
```
    Computes transient average station metrics over the specified time interval. The timespan is defined in the solver options.
  - getTranCdfPassT
```
 Ret.DistributionResult getTranCdfPassT(AvgHandle R)
```
    Returns cumulative distribution functions of passage times during transient analysis. This is an abstract method that must be implemented by concrete solver subclasses.
    
    Parameters:
    
    R - response time handles (optional)
    
    Returns:
    
    result containing transient CDFs for passage times
  - getTranCdfPassT
```
 Ret.DistributionResult getTranCdfPassT()
```
    Returns cumulative distribution functions of passage times during transient analysis. Uses default response time handles.
    
    Returns:
    
    result containing transient CDFs for passage times
  - getTranCdfRespT
```
 Ret.DistributionResult getTranCdfRespT(AvgHandle R)
```
    Returns cumulative distribution functions of response times during transient analysis. This is an abstract method that must be implemented by concrete solver subclasses.
    
    Parameters:
    
    R - response time handles (optional)
    
    Returns:
    
    result containing transient CDFs for response times
  - getTranCdfRespT
```
 Ret.DistributionResult getTranCdfRespT()
```
    Returns cumulative distribution functions of response times during transient analysis. Uses default response time handles.
    
    Returns:
    
    result containing transient CDFs for response times
  - getTranHandles
```
 SolverTranHandles getTranHandles()
```
    Returns the transient performance metric handles.
    
    Returns:
    
    the transient handles object
  - setTranHandles
```
 void setTranHandles(SolverTranHandles handles)
```
    Sets the transient performance metric handles.
    
    Parameters:
    
    handles - the transient handles to set
  - hasAvgResults
```
 boolean hasAvgResults()
```
    Checks if the solver has computed steady-state average metrics.
    
    Returns:
    
    true if steady-state results are available, false otherwise
  - hasDistribResults
```
 boolean hasDistribResults()
```
    Checks if the solver has computed steady-state distribution metrics.
    
    Returns:
    
    true if distribution results are available
  - hasTranResults
```
 boolean hasTranResults()
```
    Checks if the solver has computed transient average metrics.
    
    Returns:
    
    true if transient results are available, false otherwise
  - initHandles
```
 void initHandles()
```
    Initializes performance metric handles from the model. This method retrieves and sets both average and transient handles.
  - model
```
 Network model()
```
  - print
```
 void print()
```
    Detailed print function that displays all contents of the NetworkSolver. This function prints actual values, not reference addresses, and includes ALL fields from both NetworkSolver and its parent Solver class for comprehensive comparison.
  - prob
```
 Ret.ProbabilityResult prob(int node)
```
  - prob
```
 Ret.ProbabilityResult prob(int node, Matrix state_a)
```
  - probAggr
```
 Ret.ProbabilityResult probAggr(int node)
```
  - probAggr
```
 Ret.ProbabilityResult probAggr(int node, Matrix state_a)
```
  - probMarg
```
 Ret.ProbabilityResult probMarg(int node, int jobclass)
```
  - probMarg
```
 Ret.ProbabilityResult probMarg(int node, int jobclass, Matrix state_m)
```
  - probNormConstAggr
```
 Ret.ProbabilityResult probNormConstAggr()
```
  - probSys
```
 Ret.ProbabilityResult probSys()
```
  - probSysAggr
```
 Ret.ProbabilityResult probSysAggr()
```
  - runAnalyzerChecks
```
 void runAnalyzerChecks(SolverOptions options)
```
    Validates model compatibility and method support before analysis.
    
    Parameters:
    
    options - solver options containing method specification
  - sample
```
 Ret.SampleResult sample(int node, int numEvents)
```
    Samples state trajectories for a specific node. This is an abstract method that must be implemented by concrete solver subclasses.
    
    Parameters:
    
    node - the node index to sample from
    
    numEvents - the number of events to sample
    
    Returns:
    
    result containing sampled state trajectories
  - sampleAggr
```
 Ret.SampleResult sampleAggr(int node, int numEvents)
```
    Samples aggregated state trajectories for a specific node. This is an abstract method that must be implemented by concrete solver subclasses.
    
    Parameters:
    
    node - the node index to sample from
    
    numEvents - the number of events to sample
    
    Returns:
    
    result containing sampled aggregated state trajectories
  - sampleSys
```
 Ret.SampleResult sampleSys(int numEvents)
```
    Samples joint system state trajectories. This is an abstract method that must be implemented by concrete solver subclasses.
    
    Parameters:
    
    numEvents - the number of events to sample
    
    Returns:
    
    result containing sampled joint system state trajectories
  - sampleSysAggr
```
 Ret.SampleResult sampleSysAggr(int numEvents)
```
    Samples aggregated joint system state trajectories. This is an abstract method that must be implemented by concrete solver subclasses.
    
    Parameters:
    
    numEvents - the number of events to sample
    
    Returns:
    
    result containing sampled aggregated joint system state trajectories
  - setAvgResults
```
 void setAvgResults(Matrix Q, Matrix U, Matrix R, Matrix T, Matrix A, Matrix W, Matrix C, Matrix X, double runtime, String method, int iter)
```
    Stores computed average metrics at steady-state in the solver result.
    
    Parameters:
    
    Q - queue length matrix [stations x classes]
    
    U - utilization matrix [stations x classes]
    
    R - response time matrix [stations x classes]
    
    T - throughput matrix [stations x classes]
    
    A - arrival rate matrix [stations x classes]
    
    W - residence time matrix [stations x classes]
    
    C - system response time vector [chains]
    
    X - system throughput vector [chains]
    
    runtime - computation time in seconds
    
    method - solution algorithm used
    
    iter - number of iterations performed
  - setDistribResults
```
 final void setDistribResults(Matrix RD, double runtime)
```
    Stores distribution metrics at steady-state.
    
    Parameters:
    
    RD - distribution data [stations x classes] containing CDFs
    
    runtime - computation time for distribution analysis
  - setLang
```
 void setLang()
```
    Sets the language for solver execution. This method configures the solver to use either MATLAB or Java backend.
  - setTranAvgResults
```
 void setTranAvgResults(Array<Array<Matrix>> Qt, Array<Array<Matrix>> Ut, Array<Array<Matrix>> Rt, Array<Array<Matrix>> Tt, Array<Array<Matrix>> Ct, Array<Array<Matrix>> Xt, double runtimet)
```
    Stores computed transient average metrics.
    
    Parameters:
    
    Qt - transient queue length matrices [time][stations x classes]
    
    Ut - transient utilization matrices [time][stations x classes]
    
    Rt - transient response time matrices [time][stations x classes]
    
    Tt - transient throughput matrices [time][stations x classes]
    
    Ct - transient system response time matrices [time][chains]
    
    Xt - transient system throughput matrices [time][chains]
    
    runtimet - computation time for transient analysis
  - setTranProb
```
 final void setTranProb(Matrix t, Matrix pi_t, Matrix SS, double runtimet)
```
    Stores transient probability distributions.
    
    Parameters:
    
    t - time points vector
    
    pi_t - transient probability distributions
    
    SS - steady-state distribution
    
    runtimet - computation time for transient analysis
  - stageTable
```
 Object stageTable()
```
  - tranAvg
```
 void tranAvg()
```
  - tranCdfPassT
```
 Ret.DistributionResult tranCdfPassT()
```
  - tranCdfPassT
```
 Ret.DistributionResult tranCdfPassT(AvgHandle R)
```
  - tranCdfRespT
```
 Ret.DistributionResult tranCdfRespT()
```
  - tranCdfRespT
```
 Ret.DistributionResult tranCdfRespT(AvgHandle R)
```
  - tranHandles
```
 SolverTranHandles tranHandles()
```

Class NetworkSolver

Nested Class Summary

Field Summary

Constructor Summary

Enum Constant Summary

Method Summary

Methods inherited from class jline.solvers.Solver

Methods inherited from class java.lang.Object

Constructor Detail

NetworkSolver

NetworkSolver

Method Detail

getAllSolvers

avg

avg

avg

avgArvR

avgArvRChain

avgArvRHandles

avgChain

avgChainTable

avgChainTable

avgChainTable

avgChainTable

avgChainTable

avgChainTable

avgHandles

avgNode

avgNodeArvRChain

avgNodeChain

avgNodeChainTable

avgNodeChainTable

avgNodeChainTable

avgNodeChainTable

avgNodeChainTable

avgNodeChainTable

avgNodeQLenChain

avgNodeResidTChain

avgNodeRespTChain

avgNodeTable

avgNodeTable

avgNodeTable

avgNodeTable

avgNodeTable

avgNodeTable

avgNodeTputChain

avgNodeUtilChain

avgQLen

avgQLenChain

avgQLenHandles

avgResidT

avgResidTChain

avgResidTHandles

avgRespT

avgRespTChain

avgRespTHandles

avgSys

avgSysRespT

avgSysTable

avgSysTable

avgSysTable

avgSysTput

avgTable

avgTable

avgTable

avgTable

avgTable

avgTable

avgTput

avgTputChain

avgTputHandles

avgUtil

avgUtilChain

avgUtilHandles

avgWaitT

cdfPassT

cdfPassT

cdfRespT

cdfRespT

getAvg