SSJ: Stochastic Simulation in Java

What is SSJ?

SSJ is a Java library for stochastic simulation, developed under the direction of Pierre L'Ecuyer, in the Département d'Informatique et de Recherche Opérationnelle (DIRO), at the Université de Montréal. It provides facilities for generating uniform and nonuniform random variates, computing different measures related to probability distributions, performing goodness-of-fit tests, applying quasi-Monte Carlo methods, collecting (elementary) statistics, and programming discrete-event simulations with both events and processes.


Documentation


Downloading and Installing SSJ

Version: SSJ-2.5
Last update: 16 february 2012.

Compatible with Java SE5 (JDK 5) and later versions of Java. The latest version and installation instructions are available on the Oracle site.

The jar archive of SSJ is packaged in a ZIP file: download SSJ.

Uncompress the archive with unzip ssj-<DATE>.zip or WinZip ssj-<DATE>.zip. Follow the instructions for Linux or Windows.

A copy of SSJ is also available on the Maven repository.


Licence and source code

SSJ was started several years ago by Pierre L'Ecuyer. Several collegues and students have participated in the development of SSJ: their names may be found in the overview of SSJ.

SSJ (see copyright here) is released under the GPL licence from GNU.

The SSJ source code is here.


Contact us

If you find a bug or if you want to suggest improvements, send mail to Richard Simard.
e-mail: simardr@iro.umontreal.ca