Random numbers are a fundamental resource in science and engineering with important
applications in simulation and cryptography. The inherent randomness at the core of …

This article contains a discussion of the elusive nature of the concept of randomness, a
review of findings from experiments with randomness production and randomness …

The role of Monte Carlo methods and simulation in all of the sciences has in creased in
importance during the past several years. These methods are at the heart of the rapidly …

This e-book is devoted to global optimization algorithms, which are methods to find optimal
solutions for given problems. It especially focuses on Evolutionary Computation by …

Bayesian inference provides a simple and unified approach to data analysis, allowing
experimenters to assign probabilities to competing hypotheses of interest, on the basis of the …

Extending Moore's law by augmenting complementary-metal-oxide semiconductor (CMOS)
transistors with emerging nanotechnologies (X) has become increasingly important. One …

Random numbers are needed in many areas: cryptography, Monte Carlo computation and
simulation, industrial testing and labeling, hazard games, gambling, etc. Our assumption has …

In this article we present background, rationale, and a description of the Scalable Parallel
Random Number Generators (SPRNG) library. We begin by presenting some methods for …

Der Umfang des Datenmaterials in Wissenschaft und Technik nimmt immer schneller zu;
seine Auswertung und Beurteilung erweisen sich zunehmend als die eigentliche …

This book is an interdisciplinary book: it tries to teach physicists the basic knowledge of
combinatorial and stochastic optimization and describes to the computer scientists physical …