Package | Description |
---|---|
broadwick.stochastic |
Provides classes for solving models stochastically.
|
broadwick.stochastic.algorithms |
Provides algorithms to implement the stochastic processes.
|
Modifier and Type | Field and Description |
---|---|
private Map<SimulationEvent,Double> |
TransitionKernel.kernel |
Modifier and Type | Method and Description |
---|---|
Map<SimulationEvent,Double> |
TransitionKernel.getCDF()
Get the cumulativeDistFn for this transition kernel.
|
Set<SimulationEvent> |
TransitionKernel.getTransitionEvents()
Get the collection of events stored in the transition kernel.
|
Modifier and Type | Method and Description |
---|---|
void |
TransitionKernel.addToKernel(SimulationEvent event,
Double rate)
Add the transition rate for a given event.
|
protected void |
StochasticSimulator.doEvent(SimulationEvent mu,
double t)
Fires a reaction.
|
protected void |
StochasticSimulator.doEvent(SimulationEvent event,
double t,
int n)
Perform an event by informing the subscribed observers and the amountManager.
|
Double |
TransitionKernel.getTransitionProbability(SimulationEvent event)
Get the probability of an event occurring.
|
abstract void |
Observer.observeEvent(SimulationEvent event,
double tau,
int times)
Gets called before an event is triggered.
|
void |
AmountManager.performEvent(SimulationEvent reaction,
int times)
Reflects a (multiple) firing of a reaction by adjusting the populations of the states.
|
Modifier and Type | Method and Description |
---|---|
void |
TransitionKernel.setTransitionProbabilities(Map<SimulationEvent,Double> probabilities)
Set the transition probabilities between states.
|
Modifier and Type | Method and Description |
---|---|
private SimulationEvent |
GillespieSimple.directMCReaction()
obtains a random (but following a specific distribution) reaction as described by the direct method in chapter 5A
page 417ff.
|
Copyright © 2015 University of Glasgow. All rights reserved.