Uses of Class
hSimulator.library.SimulationStoppedException

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

Uses of SimulationStoppedException in hSimulator.library
 

Methods in hSimulator.library that throw SimulationStoppedException
 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).