The pLab-server is maintained by a team of mathematicians led by Peter
Hellekalek at the Department of Mathematics
of the University
The pLab-project is part of the FWF Special Research Program on
Quasi-Monte Carlo Methods: Theory and Applications,
which encompasses ten research groups at four Austrian universities since 2014.
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:
On this page, we provide information on our team.
We discuss different types of random number generators and some
of their properties.
We provide rather extensive links to people, software and related
On this page, you will find references to articles and books that
we consider helpful and worth reading.
If you need code for random number generation, even for nonuniform
distributions: This is your page!
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