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Packages that use Event | |
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jmarkov | Provides the basic elements to model continuous time Markov chains (CTMC). |
jmarkov.basic | This package contains basic elements such as State, Event, Action that are used in jMarkov and jMDP. |
jmarkov.jmdp | jMDP is used to solve Markov Decision Processes. |
Uses of Event in jmarkov |
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Classes in jmarkov with type parameters of type Event | |
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class |
GeomProcess<Sub extends State,E extends Event>
The class GeomProcess represents a continuos or discrete Quasi Birth and Death process. |
class |
MarkovProcess<S extends State,E extends Event>
The abstract class SimpleMarkovProcess represents a Continuous or Discrete Time Markov Chain. |
class |
SimpleMarkovProcess<S extends State,E extends Event>
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Methods in jmarkov that return Event | |
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E[] |
MarkovProcess.getEvents()
Returns all The events defined in the model. |
Uses of Event in jmarkov.basic |
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Classes in jmarkov.basic with type parameters of type Event | |
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interface |
Events<E extends Event>
This class represents a set of objects Event. |
class |
EventsSet<E extends Event>
This class represent a set of Events. |
class |
StateEvent<S extends State,E extends Event>
This class represents a state compounded of a state and an event. |
Subclasses of Event in jmarkov.basic | |
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class |
PropertiesEvent
This class is an easy way to use an event that is represented by an array of int. |
Methods in jmarkov.basic that return Event | |
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E[] |
EventsSet.toEventArray()
Returns an array with the Events in the set. |
Methods in jmarkov.basic with parameters of type Event | |
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int |
PropertiesEvent.compareTo(Event e)
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int |
Event.compareTo(Event ev)
Returns positive if this Event has a higher number then the given event. |
boolean |
EventsSet.contains(Event e)
Returns true if the set contains this Event. |
Constructors in jmarkov.basic with parameters of type Event | |
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EventsSet(E[] eventArray)
Creates an empty set of Events; |
Uses of Event in jmarkov.jmdp |
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Classes in jmarkov.jmdp with type parameters of type Event | |
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class |
CTMDPEv<S extends State,A extends Action,E extends Event>
This class represents an Infinite horizon, continuous time Markov Decision Process with events. |
class |
CTMDPEvA<S extends State,A extends Action,E extends Event>
This class represents an Infinite horizon, continuous time Markov Decision Process with events where actions depend on events. |
class |
DTMDPEv<S extends State,A extends Action,E extends Event>
This class represents an infinite horizon, discrete time, Markov Decision Process with events. |
class |
DTMDPEvA<S extends State,A extends Action,E extends Event>
This class represents an infinite horizon, discrete time, Markov Decision Process with events, where actions depend on events. |
class |
FiniteMDPEv<S extends State,A extends Action,E extends Event>
This class represents a finite horizon discrete time MDP with events. |
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