Package jline.solvers.ldes

Class SolverLDES

java.lang.Object

jline.solvers.Solver

jline.solvers.NetworkSolver

jline.solvers.ldes.SolverLDES

Direct Known Subclasses:

LDES

public class SolverLDES
extends NetworkSolver

Field Summary

Fields

Modifier and Type	Field	Description
ExecutorService	threadPool	Thread pool for parallel replication execution

Fields inherited from class jline.solvers.NetworkSolver

avgHandles, model, sn, tranHandles

Fields inherited from class jline.solvers.Solver

enableChecks, name, options, random, result

Constructor Summary

Constructors

Constructor	Description
SolverLDES(String filename)	Load a JMT model file (.jsimg/.jsim/.jsimw/.jmva) and simulate with LDES.
SolverLDES(String filename, Object... args)	Load a JMT model file (.jsimg/.jsim/.jsimw/.jmva) and simulate with LDES, accepting variable option arguments (e.g., "seed", 23000, "samples", 50000).
SolverLDES(LayeredNetwork model)	Constructs a SolverLDES with the given LayeredNetwork model using default options.
SolverLDES(LayeredNetwork model, Object... args)	Constructs a SolverLDES with the given LayeredNetwork model and variable arguments.
SolverLDES(LayeredNetwork model, SolverOptions options)	Constructs a SolverLDES with the given LayeredNetwork model and options.
SolverLDES(Network model)	Constructs a SolverLDES with the given model using default options.
SolverLDES(Network model, Object... args)	Constructs a SolverLDES with the given model and variable arguments.
SolverLDES(Network model, String method)	Constructs a SolverLDES with the given model and method.
SolverLDES(Network model, SolverOptions options)	Constructs a SolverLDES with the given model and options.

Method Summary

Modifier and Type	Method	Description
static SolverOptions	defaultOptions()	Returns the default solver options for the LDES solver.
SolverResult	getAvg()	Computes and returns average station metrics at steady-state.
static FeatureSet	getFeatureSet()	Returns the feature set supported by the LDES solver.
LayeredNetworkAvgTable	getLNAvgTable()	Returns average metrics for a LayeredNetwork model as a table.
static FeatureSet	getLNFeatureSet()	Returns the feature set supported by the LDES solver for LayeredNetwork models.
LayeredNetwork	getLNModel()	Returns the LayeredNetwork model (if solving an LQN).
LayeredNetworkStruct	getLNStruct()	Returns the LayeredNetworkStruct (if solving an LQN).
int	getNumThreads()	Returns the number of threads for parallel execution.
Ret.ProbabilityResult	getProb(int nodeIndex, Matrix state)	Estimates state probability using node index.
Ret.ProbabilityResult	getProb(StatefulNode node)	Estimates state probability using current network state.
Ret.ProbabilityResult	getProb(StatefulNode node, Matrix state)	Estimates the steady-state probability of a specific state at a node via LDES simulation.
Ret.ProbabilityResult	getProbAggr(int nodeIndex, Matrix stateAggr)	Estimates aggregated state probability using node index.
Ret.ProbabilityResult	getProbAggr(StatefulNode node)	Estimates aggregated state probability using current network state.
Ret.ProbabilityResult	getProbAggr(StatefulNode node, Matrix stateAggr)	Estimates the steady-state probability of a specific aggregated (per-class) state at a node.
Ret.ProbabilityResult	getProbSys()	Estimates the joint steady-state probability of the entire system state via LDES simulation.
Ret.ProbabilityResult	getProbSysAggr()	Estimates the joint steady-state probability of the entire aggregated system state.
Collector	getStream()	Returns the current streaming collector, or null if not streaming.
NetworkStruct	getStruct()	Returns the network structure for this solver.
ExecutorService	getThreadPool()	Returns the thread pool for parallel replication execution.
void	getTranAvg()	Performs a transient analysis of the model using discrete event simulation.
Ret.DistributionResult	getTranCdfPassT()	Returns cumulative distribution functions of passage times during transient analysis.
Ret.DistributionResult	getTranCdfPassT(AvgHandle R)	Returns cumulative distribution functions of passage times during transient analysis.
Ret.DistributionResult	getTranCdfRespT()	Returns cumulative distribution functions of response times during transient analysis.
Ret.DistributionResult	getTranCdfRespT(AvgHandle R)	Returns cumulative distribution functions of response times during transient analysis.
Ret.ProbabilityResult	getTranProb(StatefulNode node)	Computes transient state probabilities at a specific node over time using LDES simulation.
Ret.ProbabilityResult	getTranProbAggr(StatefulNode node)	Computes transient aggregated state probabilities at a specific node over time.
Ret.ProbabilityResult	getTranProbSys()	Computes transient system-wide state probabilities over time using LDES simulation.
Ret.ProbabilityResult	getTranProbSysAggr()	Computes transient system-wide aggregated state probabilities over time.
List<String>	listValidMethods()	Returns the list of valid solution methods for LDES.
List<String>	listValidMethods(Network model)	Returns the list of valid solution methods for LDES.
void	runAnalyzer()	Executes the solver algorithm to analyze the model.
SolverResult	runMethodSpecificAnalyzer()	Run the LDES analyzer with current options including init_sol.
Ret.SampleResult	sample(StatefulNode node, int numEvents)	Generates a sample path (state trajectory) for a specific node using LDES transient simulation.
Ret.SampleResult	sampleAggr(StatefulNode node, int numEvents)	Generates an aggregated sample path for a specific node.
Ret.SampleResult	sampleSys(int numEvents)	Generates a system-wide sample path (state trajectory) for all stateful nodes.
Ret.SampleResult	sampleSysAggr(int numEvents)	Generates an aggregated system-wide sample path for all stateful nodes.
void	setNumThreads(int numThreads)	Sets the parallelism level for replication execution.
Ret.SampleResult	stream(StatefulNode node, int numEvents, StreamingOptions streamingOptions)	Generates a sample path with streaming metrics pushed via OTLP.
Ret.SampleResult	stream(StatefulNode node, StreamingOptions streamingOptions)	Generates a sample path with streaming metrics pushed via OTLP.
Ret.SampleResult	streamAggr(StatefulNode node, int numEvents, StreamingOptions streamingOptions)	Generates an aggregated sample path with streaming metrics pushed via OTLP.
Ret.SampleResult	streamAggr(StatefulNode node, StreamingOptions streamingOptions)	Generates an aggregated sample path with streaming metrics pushed via OTLP.
boolean	supports(LayeredNetwork model)	Checks if the solver supports the given LayeredNetwork model.
boolean	supports(Network model)	Checks if this solver supports the given network model.

Methods inherited from class jline.solvers.NetworkSolver

aCT, aCT, aCT, aCT, aCT, aCT, aNCT, aNCT, aNCT, aNCT, aNCT, aNCT, aNT, aNT, aNT, aNT, aNT, aNT, aST, aST, aST, aT, aT, aT, aT, aT, aT, avg, avg, avg, avgArvR, avgArvRChain, avgArvRHandles, avgChain, avgChainT, avgChainT, avgChainT, avgChainT, avgChainT, avgChainT, avgChainTable, avgChainTable, avgChainTable, avgChainTable, avgChainTable, avgChainTable, avgHandles, avgNode, avgNodeArvRChain, avgNodeChain, avgNodeChainT, avgNodeChainT, avgNodeChainT, avgNodeChainT, avgNodeChainT, avgNodeChainT, avgNodeChainTable, avgNodeChainTable, avgNodeChainTable, avgNodeChainTable, avgNodeChainTable, avgNodeChainTable, avgNodeQLenChain, avgNodeResidTChain, avgNodeRespTChain, avgNodeT, avgNodeT, avgNodeT, avgNodeT, avgNodeT, avgNodeT, avgNodeTable, avgNodeTable, avgNodeTable, avgNodeTable, avgNodeTable, avgNodeTable, avgNodeTputChain, avgNodeUtilChain, avgQLen, avgQLenChain, avgQLenHandles, avgResidT, avgResidTChain, avgResidTHandles, avgRespT, avgRespTChain, avgRespTHandles, avgSys, avgSysRespT, avgSysT, avgSysT, avgSysT, avgSysTable, avgSysTable, avgSysTable, avgSysTput, avgT, avgT, avgT, avgT, avgT, avgT, avgTable, avgTable, avgTable, avgTable, avgTable, avgTable, avgTput, avgTputChain, avgTputHandles, avgUtil, avgUtilChain, avgUtilHandles, avgWaitT, cdfPassT, cdfPassT, cdfRespT, cdfRespT, chainAvgT, chainAvgT, chainAvgT, chainAvgT, chainAvgT, chainAvgT, getAllSolvers, 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, getAvgT, getAvgT, getAvgT, getAvgT, getAvgT, getAvgT, getAvgTable, getAvgTable, getAvgTable, getAvgTable, getAvgTable, getAvgTable, getAvgTput, getAvgTputChain, getAvgTputHandles, getAvgUtil, getAvgUtilChain, getAvgUtilHandles, getAvgWaitT, getCdfPassT, getCdfPassT, getCdfRespT, getCdfRespT, getChainAvgT, getChainAvgT, getChainAvgT, getChainAvgT, getChainAvgT, getChainAvgT, getDeadlineTable, getModel, getNodeAvgT, getNodeAvgT, getNodeAvgT, getNodeAvgT, getNodeAvgT, getNodeAvgT, getNodeChainAvgT, getNodeChainAvgT, getNodeChainAvgT, getNodeChainAvgT, getNodeChainAvgT, getNodeChainAvgT, getProb, getProbAggr, getProbMarg, getProbMarg, getProbNormConstAggr, getStageT, getStageT, getStageTable, getStageTable, getSysAvgT, getSysAvgT, getSysAvgT, getTranHandles, hasAvgResults, hasDistribResults, hasTranResults, initHandles, model, nodeAvgT, nodeAvgT, nodeAvgT, nodeAvgT, nodeAvgT, nodeAvgT, nodeChainAvgT, nodeChainAvgT, nodeChainAvgT, nodeChainAvgT, nodeChainAvgT, nodeChainAvgT, print, prob, prob, probAggr, probAggr, probMarg, probMarg, probNormConstAggr, probSys, probSysAggr, runAnalyzerChecks, sample, sampleAggr, setAvgHandles, setAvgResults, setDistribResults, setLang, setModel, setTranAvgResults, setTranHandles, setTranProb, stageT, stageTable, sysAvgT, sysAvgT, sysAvgT, 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

Field Details

threadPool

public ExecutorService threadPool

Thread pool for parallel replication execution

Constructor Details

SolverLDES

public SolverLDES(Network model)

Constructs a SolverLDES with the given model using default options.

Parameters:

model - the queueing network model to solve

SolverLDES

public SolverLDES(LayeredNetwork model)

Constructs a SolverLDES with the given LayeredNetwork model using default options.

Parameters:

model - the layered queueing network model to solve

SolverLDES

public SolverLDES(LayeredNetwork model,
 Object... args)

Constructs a SolverLDES with the given LayeredNetwork model and variable arguments.

Parameters:

model - the layered queueing network model to solve

args - variable arguments for solver options

SolverLDES

public SolverLDES(LayeredNetwork model,
 SolverOptions options)

Constructs a SolverLDES with the given LayeredNetwork model and options.

Parameters:

model - the layered queueing network model to solve

options - solver configuration options

SolverLDES

public SolverLDES(Network model,
 Object... args)

Constructs a SolverLDES with the given model and variable arguments.

Parameters:

model - the queueing network model to solve

args - variable arguments for solver options

SolverLDES

public SolverLDES(Network model,
 String method)

Constructs a SolverLDES with the given model and method.

Parameters:

model - the queueing network model to solve

method - the solution method to use

SolverLDES

public SolverLDES(Network model,
 SolverOptions options)

Constructs a SolverLDES with the given model and options.

Parameters:

model - the queueing network model to solve

options - solver configuration options

SolverLDES

public SolverLDES(String filename)

Load a JMT model file (.jsimg/.jsim/.jsimw/.jmva) and simulate with LDES.

Parameters:

filename - path to the JMT model file

SolverLDES

public SolverLDES(String filename,
 Object... args)

Load a JMT model file (.jsimg/.jsim/.jsimw/.jmva) and simulate with LDES, accepting variable option arguments (e.g., "seed", 23000, "samples", 50000).

Parameters:

filename - path to the JMT model file

args - variable arguments for solver options

Method Details

getThreadPool

public ExecutorService getThreadPool()

Returns the thread pool for parallel replication execution.

Returns:

the thread pool

getNumThreads

public int getNumThreads()

Returns the number of threads for parallel execution.

Returns:

the number of threads

setNumThreads

public void setNumThreads(int numThreads)

Sets the parallelism level for replication execution.

Parameters:

numThreads - number of parallel threads

getFeatureSet

public static FeatureSet getFeatureSet()

Returns the feature set supported by the LDES solver. Supports multiclass Jackson queueing networks with FCFS queues.

Returns:

the feature set supported by the LDES solver

getStruct

public NetworkStruct getStruct()

Returns the network structure for this solver.

Returns:

the network structure

getTranAvg

public void getTranAvg()

Performs a transient analysis of the model using discrete event simulation. The simulation is run for the time horizon specified in options.timespan. If options.timespan is not specified, it defaults to [0, 30/min_rate]. The number of replications is determined by options.samples.

Overrides:

getTranAvg in class NetworkSolver

getAvg

public SolverResult getAvg()

Computes and returns average station metrics at steady-state. For LayeredNetwork models, this delegates to the LN-specific analyzer.

Overrides:

getAvg in class NetworkSolver

Returns:

solver result containing average metrics

listValidMethods

public List<String> listValidMethods()

Returns the list of valid solution methods for LDES.

Returns:

list of valid method names

listValidMethods

public List<String> listValidMethods(Network model)

Returns the list of valid solution methods for LDES.

Parameters:

model - the network model (unused, for interface compatibility)

Returns:

list of valid method names

runAnalyzer

public void runAnalyzer()
                 throws IllegalAccessException,
ParserConfigurationException,
IOException

Description copied from class: Solver

Executes the solver algorithm to analyze the model. This abstract method must be implemented by concrete solver classes.

Specified by:

runAnalyzer in class Solver

Throws:

IllegalAccessException - if access to required resources is denied

ParserConfigurationException - if XML parsing configuration fails

IOException - if I/O operations fail

runMethodSpecificAnalyzer

public SolverResult runMethodSpecificAnalyzer()

Run the LDES analyzer with current options including init_sol. This method is called by SolverENV for transient analysis with initial conditions.

Returns:

SolverResult containing transient metrics (QNt, UNt, TNt, t)

supports

public boolean supports(Network model)

Description copied from class: Solver

Checks if this solver supports the given network model. Default implementation returns true; subclasses should override to provide specific feature validation.

Overrides:

supports in class Solver

Parameters:

model - the network model to check

Returns:

true if the model is supported, false otherwise

supports

public boolean supports(LayeredNetwork model)

Checks if the solver supports the given LayeredNetwork model.

Parameters:

model - the LayeredNetwork model to check

Returns:

true if the model is supported

getLNFeatureSet

public static FeatureSet getLNFeatureSet()

Returns the feature set supported by the LDES solver for LayeredNetwork models.

Returns:

the feature set supported for LQN models

getLNModel

public LayeredNetwork getLNModel()

Returns the LayeredNetwork model (if solving an LQN).

Returns:

the LayeredNetwork model, or null if solving a regular Network

getLNStruct

public LayeredNetworkStruct getLNStruct()

Returns the LayeredNetworkStruct (if solving an LQN).

Returns:

the LayeredNetworkStruct, or null if solving a regular Network

getLNAvgTable

public LayeredNetworkAvgTable getLNAvgTable()

Returns average metrics for a LayeredNetwork model as a table. This method should be called after getAvg() for LayeredNetwork models.

Returns:

LayeredNetworkAvgTable containing average metrics per LQN element

Throws:

RuntimeException - if not solving a LayeredNetwork model or results not available

defaultOptions

public static SolverOptions defaultOptions()

Returns the default solver options for the LDES solver.

Returns:

Default solver options with SolverType.LDES

sample

public Ret.SampleResult sample(StatefulNode node,
 int numEvents)

Generates a sample path (state trajectory) for a specific node using LDES transient simulation.

Parameters:

node - The stateful node to sample

numEvents - Number of time points to sample

Returns:

SampleResult containing the state trajectory for the node

sampleAggr

public Ret.SampleResult sampleAggr(StatefulNode node,
 int numEvents)

Generates an aggregated sample path for a specific node. For LDES, the sample() method already returns per-class queue lengths (nir), so this method simply marks the result as aggregated without additional marginal computation. This differs from SSA which requires toMarginal processing on raw state vectors.

Parameters:

node - The stateful node to sample

numEvents - Number of time points to sample

Returns:

SampleResult containing the aggregated state trajectory

sampleSys

public Ret.SampleResult sampleSys(int numEvents)

Generates a system-wide sample path (state trajectory) for all stateful nodes.

Overrides:

sampleSys in class NetworkSolver

Parameters:

numEvents - Number of time points to sample

Returns:

SampleResult containing the state trajectory for all nodes

sampleSysAggr

public Ret.SampleResult sampleSysAggr(int numEvents)

Generates an aggregated system-wide sample path for all stateful nodes.

Overrides:

sampleSysAggr in class NetworkSolver

Parameters:

numEvents - Number of time points to sample

Returns:

SampleResult containing the aggregated state trajectory for all nodes

stream

public Ret.SampleResult stream(StatefulNode node,
 StreamingOptions streamingOptions)

Generates a sample path with streaming metrics pushed via OTLP.

Parameters:

node - The stateful node to sample

streamingOptions - Configuration for streaming (endpoint, mode, frequency)

Returns:

SampleResult containing the state trajectory for the node

stream

public Ret.SampleResult stream(StatefulNode node,
 int numEvents,
 StreamingOptions streamingOptions)

Generates a sample path with streaming metrics pushed via OTLP.

Parameters:

node - The stateful node to sample

numEvents - Number of time points to sample

streamingOptions - Configuration for streaming (endpoint, mode, frequency)

Returns:

SampleResult containing the state trajectory for the node

streamAggr

public Ret.SampleResult streamAggr(StatefulNode node,
 StreamingOptions streamingOptions)

Generates an aggregated sample path with streaming metrics pushed via OTLP.

Parameters:

node - The stateful node to sample

streamingOptions - Configuration for streaming (endpoint, mode, frequency)

Returns:

SampleResult containing the aggregated state trajectory

streamAggr

public Ret.SampleResult streamAggr(StatefulNode node,
 int numEvents,
 StreamingOptions streamingOptions)

Generates an aggregated sample path with streaming metrics pushed via OTLP.

Parameters:

node - The stateful node to sample

numEvents - Number of time points to sample

streamingOptions - Configuration for streaming (endpoint, mode, frequency)

Returns:

SampleResult containing the aggregated state trajectory

getStream

public Collector getStream()

Returns the current streaming collector, or null if not streaming.

Returns:

the streaming collector

getProb

public Ret.ProbabilityResult getProb(StatefulNode node,
 Matrix state)

Estimates the steady-state probability of a specific state at a node via LDES simulation. This method runs a LDES simulation and estimates state probabilities by computing the fraction of total simulation time spent in each state. The simulation collects state trajectories and weights each state by its dwell time.

Parameters:

node - The stateful node to analyze

state - The state vector to compute probability for. If null, uses current network state.

Returns:

Estimated probability of the specified state (0 if state not observed)

getProb

public Ret.ProbabilityResult getProb(int nodeIndex,
 Matrix state)

Estimates state probability using node index.

Overrides:

getProb in class NetworkSolver

Parameters:

nodeIndex - Index of the stateful node

state - The state vector to compute probability for

Returns:

Estimated probability of the specified state

getProb

public Ret.ProbabilityResult getProb(StatefulNode node)

Estimates state probability using current network state.

Parameters:

node - The stateful node to analyze

Returns:

Estimated probability of current network state at the node

getProbAggr

public Ret.ProbabilityResult getProbAggr(StatefulNode node,
 Matrix stateAggr)

Estimates the steady-state probability of a specific aggregated (per-class) state at a node. This method estimates the probability of observing a specific per-class job distribution (e.g., [2 jobs of class 1, 1 job of class 2]) at a station. States are aggregated over service phases - only the number of jobs per class matters.

Parameters:

node - The stateful node to analyze

stateAggr - The aggregated state vector (per-class job counts) to compute probability for. If null, uses current network state aggregated over phases.

Returns:

Estimated probability of the specified aggregated state (0 if state not observed)

getProbAggr

public Ret.ProbabilityResult getProbAggr(int nodeIndex,
 Matrix stateAggr)

Estimates aggregated state probability using node index.

Overrides:

getProbAggr in class NetworkSolver

Parameters:

nodeIndex - Index of the stateful node

stateAggr - The aggregated state vector to compute probability for

Returns:

Estimated probability of the specified aggregated state

getProbAggr

public Ret.ProbabilityResult getProbAggr(StatefulNode node)

Estimates aggregated state probability using current network state.

Parameters:

node - The stateful node to analyze

Returns:

Estimated probability of current aggregated network state at the node

getProbSys

public Ret.ProbabilityResult getProbSys()

Estimates the joint steady-state probability of the entire system state via LDES simulation. This method estimates the probability of observing the current system state (combined state across all stateful nodes) using simulation-based estimation. States include phase information from service distributions.

Overrides:

getProbSys in class NetworkSolver

Returns:

Estimated joint probability of the current system state (0 if state not observed)

getProbSysAggr

public Ret.ProbabilityResult getProbSysAggr()

Estimates the joint steady-state probability of the entire aggregated system state. This method estimates the probability of observing the current system state (combined per-class job counts across all stateful nodes) using simulation. States are aggregated over service phases - only job counts per class matter.

Overrides:

getProbSysAggr in class NetworkSolver

Returns:

Estimated joint probability of the current aggregated system state (0 if state not observed)

getTranCdfRespT

public Ret.DistributionResult getTranCdfRespT()

Returns cumulative distribution functions of response times during transient analysis. Uses response time samples collected during LDES simulation to compute empirical CDFs.

Overrides:

getTranCdfRespT in class NetworkSolver

Returns:

DistributionResult containing empirical CDFs for each station-class pair

getTranCdfRespT

public Ret.DistributionResult getTranCdfRespT(AvgHandle R)

Returns cumulative distribution functions of response times during transient analysis.

Overrides:

getTranCdfRespT in class NetworkSolver

Parameters:

R - response time handles specifying which metrics to compute

Returns:

DistributionResult containing empirical CDFs for each station-class pair

getTranCdfPassT

public Ret.DistributionResult getTranCdfPassT()

Returns cumulative distribution functions of passage times during transient analysis. For LDES, passage times are equivalent to response times in single-visit networks.

Overrides:

getTranCdfPassT in class NetworkSolver

Returns:

DistributionResult containing empirical CDFs for passage times

getTranCdfPassT

public Ret.DistributionResult getTranCdfPassT(AvgHandle R)

Returns cumulative distribution functions of passage times during transient analysis.

Overrides:

getTranCdfPassT in class NetworkSolver

Parameters:

R - response time handles specifying which metrics to compute

Returns:

DistributionResult containing empirical CDFs for passage times

getTranProb

public Ret.ProbabilityResult getTranProb(StatefulNode node)

Computes transient state probabilities at a specific node over time using LDES simulation.

Parameters:

node - the stateful node to analyze

Returns:

ProbabilityResult containing transient probability data

getTranProbAggr

public Ret.ProbabilityResult getTranProbAggr(StatefulNode node)

Computes transient aggregated state probabilities at a specific node over time.

Parameters:

node - the stateful node to analyze

Returns:

ProbabilityResult containing transient aggregated probability data

getTranProbSys

public Ret.ProbabilityResult getTranProbSys()

Computes transient system-wide state probabilities over time using LDES simulation.

Returns:

ProbabilityResult containing transient system probability data

getTranProbSysAggr

public Ret.ProbabilityResult getTranProbSysAggr()

Computes transient system-wide aggregated state probabilities over time.

Returns:

ProbabilityResult containing transient system aggregated probability data