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See:
Description
Packages | |
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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.basic.exceptions | This package contains the definition od the Exceptions thrown by jMarkov. |
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. |
jphase.fit | Provides capabilities for fitting Phase type distribution parameters from data. |
jphase.generator | Provides capabilities for generating random variates from Phase type distributions. |
jMarkov is a series of packages designed to model and optimize stochastic models. It consists of various modules:
SimpleMarkovProcess
, and implementing three functions
that describe the dynamics of the system.
The user does not need to know the details of the implementation, but rather to describe the dynamics of the system in terms of the states that the system can be and the events that can alter the current state. The user can have freedom to override in many ways the default behavior of the system.
The basic steps that the user should follow are
State
or the class PropertiesState
.Event
class. MarkovProcess
or SimpleMarkovProcess
, defining the three following items
active
. dests
.rate
.
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