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Packages that use SimulatedTS | |
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hSimulator.library | In this package a complete Java library is provided for simulating reaction models. |
Uses of SimulatedTS in hSimulator.library |
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Methods in hSimulator.library that return SimulatedTS | |
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SimulatedTS[] |
SimulationEngine.call()
Starts the simulation engine. |
SimulatedTS |
SimulatedTS.clone()
Clones the time series. |
static SimulatedTS |
SimulatedTS.getAveragedDynamics(SimulatedTS[] dynamics,
boolean roundToInteger)
Returns a time series of averaged values. |
SimulatedTS |
SimulationStoppedException.getPartialResults()
Returns partial simulation results (longest time series) computed before this exception has been thrown ( null if no results are available). |
static SimulatedTS |
SimulatedTS.loadTimeSeries(String filePath)
Loads a time series from file. |
SimulatedTS |
Simulator.simDM(int nSim,
int tMax,
double tsSampling)
Simulates the model according to the Gillespie Direct Method (DM). |
SimulatedTS |
Simulator.simDM(int nSim,
List<String> varsToBeSaved,
int tMax,
double tsSampling)
Simulates the model according to the Gillespie Direct Method (DM). |
SimulatedTS |
Simulator.simEuler(int tMax,
double dT,
double tsSampling)
Simulates the model according to the Euler deterministic algorithm. |
SimulatedTS |
Simulator.simEuler(List<String> varsToBeSaved,
int tMax,
double dT,
double tsSampling)
Simulates the model according to the Euler deterministic algorithm. |
SimulatedTS |
Simulator.simHRSSA(int nSim,
int tMax,
double delta,
int epsilon,
int gamma,
int theta,
double dT,
double tsSampling)
Simulates the model according to the Hybrid Rejection-based Stochastic Simulation Algorithm (HRSSA). |
SimulatedTS |
Simulator.simHRSSA(int nSim,
List<String> varsToBeSaved,
int tMax,
double delta,
int epsilon,
int gamma,
int theta,
double dT,
double tsSampling)
Simulates the model according to the Hybrid Rejection-based Stochastic Simulation Algorithm (HRSSA). |
SimulatedTS |
Simulator.simRK45(int tMax,
double initialDT,
double maxErr,
double tsSampling)
Simulates the model according to the Runge-Kutta-Fehlberg (RK45) deterministic algorithm. |
SimulatedTS |
Simulator.simRK45(List<String> varsToBeSaved,
int tMax,
double initialDT,
double maxErr,
double tsSampling)
Simulates the model according to the Runge-Kutta-Fehlberg (RK45) deterministic algorithm. |
SimulatedTS |
Simulator.simRSSA(int nSim,
int tMax,
double delta,
int epsilon,
double tsSampling)
Simulates the model according to the Rejection-based Stochastic Simulation Algorithm (RSSA). |
SimulatedTS |
Simulator.simRSSA(int nSim,
List<String> varsToBeSaved,
int tMax,
double delta,
int epsilon,
double tsSampling)
Simulates the model according to the Rejection-based Stochastic Simulation Algorithm (RSSA). |
Methods in hSimulator.library with parameters of type SimulatedTS | |
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static SimulatedTS |
SimulatedTS.getAveragedDynamics(SimulatedTS[] dynamics,
boolean roundToInteger)
Returns a time series of averaged values. |
static void |
SimulatedTS.saveTimeSeries(SimulatedTS ts,
String filePath)
Saves a time series to file. |
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