jMarkov Reference Manual

jMarkov is a series of packages designed to model and optimize stochastic models.

See:
          Description

Packages
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:

Details and examples can be found in the PDF file jMarkovManual.pdf. This Reference documentation can be read in pdf format in the file jMarkovRefManual.pdf.

jMarkov is a proyect created at Universidad de los Andes by the COPA research group.