Monte Carlo techniques have become popular in different areas of medical physics with
advantage of powerful computing systems. In particular, they have been extensively applied …

This book is a substantially revised and expanded edition reflecting major developments in
stochastic numerics since the 1st edition [314] was published in 2004. The new topics …

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 …

Abstract The Monte Carlo code PENELOPE has been used to simulate electron beams from
a Siemens Mevatron KDS linac with nominal energies of 6, 12 and 18 MeV. Owing to its …

Difficulties in social interaction, verbal and non-verbal communications as well as repetitive
and atypical patterns of behavior, characterizes Autism spectrum disorders (ASD). A number …

Monte Carlo computations are considered easy to parallelize. However, the results can be
adversely affected by defects in the parallel pseudorandom number generator used. A …

Monte Carlo computations are commonly considered to be naturally parallel. However, one
needs to exercise care in parallelizing the underlying pseudorandom number generator …

A detailed asymptotic study of the effect of small Gaussian white noise on a relaxation
oscillator undergoing a supercritical Hopf bifurcation is presented. The analysis reveals an …

Through parallelization, field programmable gate array (FPGA) can achieve unprecedented
speeds in large-scale parallel Monte Carlo (LPMC) simulations. FPGA presents both new …

The first part of this introductory lecture on Monte Carlo methods gives an overview of the
essential ideas of Monte Carlo, discusses the relation between the basic sampling concept …