This chapter provides a survey of the main methods in nonuniform random variate
generation, and highlights recent research on the subject. Classical paradigms such as …

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

Abstract Optimizing and rendering Neural Radiance Fields is computationally expensive
due to the vast number of samples required by volume rendering. Recent works have …

Cryptography, in particular public-key cryptography, has emerged in the last 20 years as an
important discipline that is not only the subject of an enormous amount of research, but …

An up-to-date, comprehensive treatment of a classic text on missing data in statistics The
topic of missing data has gained considerable attention in recent decades. This new edition …

Ming Li Paul Vitányi Fourth Edition Page 1 An Introduction to Kolmogorov Complexity and Its
Applications Ming Li Paul Vitányi Fourth Edition Texts in Computer Science Page 2 Texts in …

This book is an introduction to the modern theory of Markov chains, whose goal is to
determine the rate of convergence to the stationary distribution, as a function of state space …

For many applications a randomized algorithm is either the simplest algorithm available, or
the fastest, or both. This tutorial presents the basic concepts in the design and analysis of …

The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …

This book provides a self-contained and up-to-date treatment of the Monte Carlo method
and develops a common framework under which various Monte Carlo techniques can be" …