Opinion

Random number generators are chaotic

Posted

The study of highly unstable nonlinear dynamical systems—chaotic systems—has emerged recently as an area of major interest and applicability across the mathematical, physical and social sciences. This interest has been triggered by advances in the past decade, particularly in the mathematical understanding of complex systems. An important insight that has become widely recognized in recent years is that deterministic systems can give rise to chaotic behavior. Surprisingly, many of these systems are extremely simple, yet they exhibit complex chaotic behavior.

View this article in the ACM Digital Library.

Join the Discussion (0)

Become a Member or Sign In to Post a Comment

The Latest from CACM

Shape the Future of Computing

ACM encourages its members to take a direct hand in shaping the future of the association. There are more ways than ever to get involved.

Get Involved

Communications of the ACM (CACM) is now a fully Open Access publication.

By opening CACM to the world, we hope to increase engagement among the broader computer science community and encourage non-members to discover the rich resources ACM has to offer.

Learn More