Uses of Package
jmarkov.basic

Packages that use jmarkov.basic

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.
jmarkov.jmdp.solvers	This package contins the framwork of solvers used by jMDP to solve Markov Decision Processes.
jmarkov.solvers	Provides classes for customizing a solver used by JMarkov to solve transient and steady state probabilities in different models.
jphase	This package provides capabilities for modeling Phase type distributions.

Classes in jmarkov.basic used by jmarkov

Event
The class Event allows the user to define the implementation of the Events that can alter the States of the Markov Chain.

EventsSet
This class represent a set of Events.

JMarkovElement
All the elements in JMarkov implement this interface, so they can be easily described in the interface.

State
The Class State represent a state in a MarkovProcess or MDP.

States
This interface represents a set of objects State.

StatesSet
This class represent a set of States.

Transitions

Classes in jmarkov.basic used by jmarkov.basic

Action
This class represents a single Action in Markov Decision Process (MDP).

Actions
This interface represents a set of objects Action.

DecisionRule
This class represents a deterministic decision rule which assigns an action to every state.

Event
The class Event allows the user to define the implementation of the Events that can alter the States of the Markov Chain.

Events
This class represents a set of objects Event.

EventsSet
This class represent a set of Events.

JMarkovElement
All the elements in JMarkov implement this interface, so they can be easily described in the interface.

Policy
Policy is a set of "Decision Rules".

PropertiesAction
This class is an easy way to use a Action that is represented by an integer valued array.

PropertiesElement
This interface is a wrapper for elements (States, Actions Events) that can be represented by an arry of integers.

PropertiesEvent
This class is an easy way to use an event that is represented by an array of int.

PropertiesState
The states are characterized by an array of integer-valued properties, whose meaning will change from implementation to implementation.

State
The Class State represent a state in a MarkovProcess or MDP.

States
This interface represents a set of objects State.

Transition
This class represent a transition to a given state.

Transitions

ValueFunction
This structure matches each state with a double number representing its value function, or in some cases the steady state probabilities.

Classes in jmarkov.basic used by jmarkov.jmdp

Action
This class represents a single Action in Markov Decision Process (MDP).

Actions
This interface represents a set of objects Action.

Event
The class Event allows the user to define the implementation of the Events that can alter the States of the Markov Chain.

Events
This class represents a set of objects Event.

Policy
Policy is a set of "Decision Rules".

Solution
This class represents the joint information of a value function and a policy which summarizes the solution to a problem.

State
The Class State represent a state in a MarkovProcess or MDP.

StateC
State to model shortest path problems.

StateEvent
This class represents a state compounded of a state and an event.

States
This interface represents a set of objects State.

StatesSet
This class represent a set of States.

ValueFunction
This structure matches each state with a double number representing its value function, or in some cases the steady state probabilities.

Classes in jmarkov.basic used by jmarkov.jmdp.solvers

Action
This class represents a single Action in Markov Decision Process (MDP).

DecisionRule
This class represents a deterministic decision rule which assigns an action to every state.

JMarkovElement
All the elements in JMarkov implement this interface, so they can be easily described in the interface.

Policy
Policy is a set of "Decision Rules".

Solution
This class represents the joint information of a value function and a policy which summarizes the solution to a problem.

State
The Class State represent a state in a MarkovProcess or MDP.

StateC
State to model shortest path problems.

ValueFunction
This structure matches each state with a double number representing its value function, or in some cases the steady state probabilities.

Classes in jmarkov.basic used by jmarkov.solvers

JMarkovElement
All the elements in JMarkov implement this interface, so they can be easily described in the interface.

State
The Class State represent a state in a MarkovProcess or MDP.

Classes in jmarkov.basic used by jphase

JMarkovElement
All the elements in JMarkov implement this interface, so they can be easily described in the interface.