In this article, we highlight a series of tensions inherent to understanding randomness. In doing so, we locate discussions of randomness at the intersections of a broad range of literatures …

In this chapter we aim to give a nontechnical account of the mathe-matical theory of randomness. This theory can be seen as an extension of classical probability theory that allows us to talk …

Lecture Notes 3: Randomness 1 Gaussian random variables The Gaussian or normal random variable is arguably the most popular random variable in statistical modeling and signal …

Quicksort is a randomized algorithm. Shuffling is needed for performance guarantee. Computers can’t generate randomness (without specialized hardware). Pseudorandom functions. Which …

Abstract – Randomness is a crucial resource for a broad range of important applications, such as Monte Carlo simulation and computation, generative artificial intelligence and cryptography. …

Randomness in number theory Edgar Costa (MIT) November 29th, 2018 Colorado State University Slides available at edgarcosta.org under Research

Summary The complexity of randomness and how we can exploit it is an important area of study with many applications