Uses of Class
hSimulator.library.SimulatedTS

Packages that use SimulatedTS
hSimulator.library In this package a complete Java library is provided for simulating reaction models. 
 

Uses of SimulatedTS in hSimulator.library
 

Methods in hSimulator.library that return SimulatedTS
 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
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.