Package | Description |
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broadwick.stochastic |
Provides classes for solving models stochastically.
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broadwick.stochastic.algorithms |
Provides algorithms to implement the stochastic processes.
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Modifier and Type | Field and Description |
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private StochasticSimulator |
Observer.process |
Modifier and Type | Method and Description |
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boolean |
SimulationController.goOn(StochasticSimulator process)
Returns whether or not to go on with the given simulation.
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boolean |
DefaultController.goOn(StochasticSimulator process) |
Constructor and Description |
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Observer(StochasticSimulator sim)
Creates an observer dedicated to one process.
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Modifier and Type | Class and Description |
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class |
AbstractTauLeapingBase
Abstract base class for tau leaping classes.
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class |
GillespieSimple
Implementation of Gillespie's Direct method.
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class |
TauLeaping
Implementation of the tau-leaping algorithm that makes an approximation to the stochastic ODE by picking a reasonable
time-step and then performing all the reactions that occur in this step.
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class |
TauLeapingFixedStep
Implementation of the tau-leaping algorithm that makes an approximation to the stochastic ODE by picking a reasonable
time-step and then performing all the reactions that occur in this step.
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