All Implemented Interfaces:


public class SolverSSA
extends NetworkSolver

Nested Class Summary

Nested Classes
Modifier and Type	Class	Description

Field Summary

Fields
Modifier and Type	Field	Description
`public ExecutorService`	`threadPool`
`public int`	`numThreads`
`public EventCache`	`eventCache`
`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
`SolverSSA(Network model)`
`SolverSSA(Network model, Array<Object> args)`
`SolverSSA(Network model, String method)`
`SolverSSA(Network model, SolverOptions options)`

Enum Constant Summary

Enum Constants
Enum Constant	Description

Method Summary

Modifier and Type	Method	Description
`ExecutorService`	`getThreadPool()`
`void`	`setThreadPool(ExecutorService threadPool)`
`int`	`getNumThreads()`
`void`	`setNumThreads(int numThreads)`
`EventCache`	`getEventCache()`
`void`	`setEventCache(EventCache eventCache)`
`static FeatureSet`	`getFeatureSet()`	Returns the feature set supported by the SSA solver
`NetworkStruct`	`getStruct()`
`List<String>`	`listValidMethods()`
`List<String>`	`listValidMethods(Network model)`
`void`	`runAnalyzer()`	Executes the solver algorithm to analyze the model.
`void`	`setParallelism(int numThreads)`
`boolean`	`supports(Network model)`	Checks if this solver supports the given network model.
`SampleNodeState`	`sample(Node node, Integer numSamples, boolean markActivePassive)`	Sample node state evolution using SSA simulation
`SampleNodeState`	`sample(Node node, int numSamples)`	Sample node state evolution using SSA simulation
`SampleNodeState`	`sample(Node node)`	Sample node state evolution using SSA simulation using default sample count
`SampleNodeState`	`sampleAggr(Node node, Integer numSamples, boolean markActivePassive)`	Sample aggregated node state evolution using SSA simulation
`SampleNodeState`	`sampleAggr(Node node, int numSamples)`	Sample aggregated node state evolution using SSA simulation
`SampleNodeState`	`sampleAggr(Node node)`	Sample aggregated node state evolution using SSA simulation using default sample count
`Ret.SampleResult`	`sampleSys(int numSamples)`	Sample system-wide state evolution using SSA simulation
`SampleSysState`	`sampleSys()`	Sample system-wide state evolution using SSA simulation using default sample count
`Ret.SampleResult`	`sampleSysAggr(int numSamples)`	Sample aggregated system-wide state evolution using SSA simulation
`SampleSysState`	`sampleSysAggr()`	Sample aggregated system-wide state evolution using SSA simulation using default sample count
`double`	`getProb(Node node, Matrix state)`	Get probability for a specific node state
`double`	`getProb(Node node)`	Get probability for a specific node state using the node's default state
`double`	`getProbAggr(Node node, Matrix state)`	Get aggregated probability for a specific node state
`double`	`getProbAggr(Node node)`	Get aggregated probability for a specific node state using the node's default state
`Ret.ProbabilityResult`	`getProbSys()`	Get system-wide probability for the current system state
`Ret.ProbabilityResult`	`getProbSysAggr()`	Get aggregated system-wide probability for the current system state
`static SolverOptions`	`defaultOptions()`	Returns the default solver options for the SSA solver.

Methods inherited from class jline.solvers.NetworkSolver
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, getAllSolvers, getAvg, getAvg, getAvg, getAvgArvR, getAvgArvRChain, getAvgArvRHandles, getAvgChain, getAvgChainTable, getAvgChainTable, getAvgChainTable, getAvgChainTable, getAvgChainTable, getAvgChainTable, getAvgHandles, getAvgNode, getAvgNodeArvRChain, getAvgNodeChain, getAvgNodeChainTable, getAvgNodeChainTable, getAvgNodeChainTable, getAvgNodeChainTable, getAvgNodeChainTable, getAvgNodeChainTable, getAvgNodeQLenChain, getAvgNodeResidTChain, getAvgNodeRespTChain, getAvgNodeTable, getAvgNodeTable, getAvgNodeTable, getAvgNodeTable, getAvgNodeTable, getAvgNodeTable, getAvgNodeTputChain, getAvgNodeUtilChain, getAvgQLen, getAvgQLenChain, getAvgQLenHandles, getAvgResidT, getAvgResidTChain, getAvgResidTHandles, getAvgRespT, getAvgRespTChain, getAvgRespTHandles, getAvgSys, getAvgSys, getAvgSys, getAvgSysRespT, getAvgSysTable, getAvgSysTable, getAvgSysTable, getAvgSysTput, getAvgTable, getAvgTable, getAvgTable, getAvgTable, getAvgTable, getAvgTable, getAvgTput, getAvgTputChain, getAvgTputHandles, getAvgUtil, getAvgUtilChain, getAvgUtilHandles, getAvgWaitT, getCdfPassT, getCdfPassT, getCdfRespT, getCdfRespT, getModel, getProb, getProb, getProbAggr, getProbAggr, getProbMarg, getProbMarg, getProbNormConstAggr, getStageTable, getStageTable, getTranAvg, getTranCdfPassT, getTranCdfPassT, getTranCdfRespT, getTranCdfRespT, getTranHandles, hasAvgResults, hasDistribResults, hasTranResults, initHandles, model, print, prob, prob, probAggr, probAggr, probMarg, probMarg, probNormConstAggr, probSys, probSysAggr, runAnalyzerChecks, sample, sampleAggr, setAvgHandles, setAvgResults, setDistribResults, setLang, setModel, setTranAvgResults, setTranHandles, setTranProb, stageTable, tranAvg, tranCdfPassT, tranCdfPassT, tranCdfRespT, tranCdfRespT, tranHandles
Methods inherited from class jline.solvers.Solver
getName, getOptions, getResults, hasResults, isJavaAvailable, isValidOption, listValidOptions, parseOptions, parseOptions, reset, resetRandomGeneratorSeed, setChecks, setOptions
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - SolverSSA
```
SolverSSA(Network model)
```
  - SolverSSA
```
SolverSSA(Network model, Array<Object> args)
```
  - SolverSSA
```
SolverSSA(Network model, String method)
```
  - SolverSSA
```
SolverSSA(Network model, SolverOptions options)
```
- Method Detail
  - getThreadPool
```
 ExecutorService getThreadPool()
```
  - setThreadPool
```
 void setThreadPool(ExecutorService threadPool)
```
  - getNumThreads
```
 int getNumThreads()
```
  - setNumThreads
```
 void setNumThreads(int numThreads)
```
  - getEventCache
```
 EventCache getEventCache()
```
  - setEventCache
```
 void setEventCache(EventCache eventCache)
```
  - getFeatureSet
```
 static FeatureSet getFeatureSet()
```
    Returns the feature set supported by the SSA solver
    
    Returns:
    
    - the feature set supported by the SSA solver
  - getStruct
```
 NetworkStruct getStruct()
```
  - listValidMethods
```
 List<String> listValidMethods()
```
  - listValidMethods
```
 List<String> listValidMethods(Network model)
```
  - runAnalyzer
```
 void runAnalyzer()
```
    Executes the solver algorithm to analyze the model. This abstract method must be implemented by concrete solver classes.
  - setParallelism
```
 void setParallelism(int numThreads)
```
  - supports
```
 boolean supports(Network model)
```
    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
  - sample
```
 SampleNodeState sample(Node node, Integer numSamples, boolean markActivePassive)
```
    Sample node state evolution using SSA simulation
    
    Parameters:
    
    node - The node to sample from
    
    numSamples - Number of samples to generate (overrides solver options if provided)
    
    markActivePassive - Whether to mark events as active/passive
    
    Returns:
    
    SampleNodeState containing the sampling results
  - sample
```
 SampleNodeState sample(Node node, int numSamples)
```
    Sample node state evolution using SSA simulation
    
    Parameters:
    
    node - The node to sample from
    
    numSamples - Number of samples to generate
    
    Returns:
    
    SampleNodeState containing the sampling results
  - sample
```
 SampleNodeState sample(Node node)
```
    Sample node state evolution using SSA simulation using default sample count
    
    Parameters:
    
    node - The node to sample from
    
    Returns:
    
    SampleNodeState containing the sampling results
  - sampleAggr
```
 SampleNodeState sampleAggr(Node node, Integer numSamples, boolean markActivePassive)
```
    Sample aggregated node state evolution using SSA simulation
    
    Parameters:
    
    node - The node to sample from
    
    numSamples - Number of samples to generate (overrides solver options if provided)
    
    markActivePassive - Whether to mark events as active/passive
    
    Returns:
    
    SampleNodeState containing the aggregated sampling results
  - sampleAggr
```
 SampleNodeState sampleAggr(Node node, int numSamples)
```
    Sample aggregated node state evolution using SSA simulation
    
    Parameters:
    
    node - The node to sample from
    
    numSamples - Number of samples to generate
    
    Returns:
    
    SampleNodeState containing the aggregated sampling results
  - sampleAggr
```
 SampleNodeState sampleAggr(Node node)
```
    Sample aggregated node state evolution using SSA simulation using default sample count
    
    Parameters:
    
    node - The node to sample from
    
    Returns:
    
    SampleNodeState containing the aggregated sampling results
  - sampleSys
```
 Ret.SampleResult sampleSys(int numSamples)
```
    Sample system-wide state evolution using SSA simulation
    
    Parameters:
    
    numSamples - Number of samples to generate
    
    Returns:
    
    SampleSysState containing the system-wide sampling results
  - sampleSys
```
 SampleSysState sampleSys()
```
    Sample system-wide state evolution using SSA simulation using default sample count
    
    Returns:
    
    SampleSysState containing the system-wide sampling results
  - sampleSysAggr
```
 Ret.SampleResult sampleSysAggr(int numSamples)
```
    Sample aggregated system-wide state evolution using SSA simulation
    
    Parameters:
    
    numSamples - Number of samples to generate
    
    Returns:
    
    SampleSysState containing the aggregated system-wide sampling results
  - sampleSysAggr
```
 SampleSysState sampleSysAggr()
```
    Sample aggregated system-wide state evolution using SSA simulation using default sample count
    
    Returns:
    
    SampleSysState containing the aggregated system-wide sampling results
  - getProb
```
 double getProb(Node node, Matrix state)
```
    Get probability for a specific node state
    
    Parameters:
    
    node - The node to get probability for
    
    state - The state vector (optional - uses node's default state if null)
    
    Returns:
    
    Probability of being in the specified state
  - getProb
```
 double getProb(Node node)
```
    Get probability for a specific node state using the node's default state
    
    Parameters:
    
    node - The node to get probability for
    
    Returns:
    
    Probability of being in the node's default state
  - getProbAggr
```
 double getProbAggr(Node node, Matrix state)
```
    Get aggregated probability for a specific node state
    
    Parameters:
    
    node - The node to get probability for
    
    state - The state vector (optional - uses node's default state if null)
    
    Returns:
    
    Aggregated probability of being in the specified state
  - getProbAggr
```
 double getProbAggr(Node node)
```
    Get aggregated probability for a specific node state using the node's default state
    
    Parameters:
    
    node - The node to get probability for
    
    Returns:
    
    Aggregated probability of being in the node's default state
  - getProbSys
```
 Ret.ProbabilityResult getProbSys()
```
    Get system-wide probability for the current system state
    
    Returns:
    
    Probability of being in the system state
  - getProbSysAggr
```
 Ret.ProbabilityResult getProbSysAggr()
```
    Get aggregated system-wide probability for the current system state
    
    Returns:
    
    Aggregated probability of being in the system state
  - defaultOptions
```
 static SolverOptions defaultOptions()
```
    Returns the default solver options for the SSA solver.
    
    Returns:
    
    Default solver options with SolverType.SSA

Class SolverSSA

Nested Class Summary

Field Summary

Constructor Summary

Enum Constant Summary

Method Summary

Methods inherited from class jline.solvers.NetworkSolver

Methods inherited from class jline.solvers.Solver

Methods inherited from class java.lang.Object

Constructor Detail

SolverSSA

SolverSSA

SolverSSA

SolverSSA

Method Detail

getThreadPool

setThreadPool

getNumThreads

setNumThreads

getEventCache

setEventCache

getFeatureSet

getStruct

listValidMethods

listValidMethods

runAnalyzer

setParallelism

supports

sample

sample

sample

sampleAggr

sampleAggr

sampleAggr

sampleSys

sampleSys

sampleSysAggr

sampleSysAggr

getProb

getProb

getProbAggr

getProbAggr

getProbSys

getProbSysAggr

defaultOptions