The pLab-project is part of the FWF Special Research Program on Monte Carlo and Quasi-Monte Carlo Methods, which encompasses ten research groups at four Austrian universities.

We present results and links for techniques which are relevant for the theory of uniform distribution of sequences and for applications to random number generation by deterministic algorithms, so-called pseudo-random number generators. These algorithms are a fundamental tool in stochastic simulation and in applied cryptography. Enjoy the data and allow for necessary incompleteness and subjectivity of our views.

An unmoderated collection of network-resouces on random number generators is located on this server as part of the WWW Virtual Library.

A short tour of the information we offer:

• About Us
  On this page, we provide information on our team.
• Generators
  We discuss different types of random number generators and some of their properties.
• Links
  We provide rather extensive links to people, software and related sites.
• Literature
  On this page, you will find references to articles and books that we consider helpful and worth reading.
• Software
  If you need code for random number generation, even for nonuniform distributions: This is your page!
• Tests
  All random number generators have their weak points. We discuss the issue of empirical (statistical) testing of RNGs and provide results as well as links.
  

Research supported by and Jubiläumsfond der OeNB