An Automated Variance Reduction Method for Global Monte Carlo Neutral Particle Transport Problems
Author : Marc. A. Cooper
Publisher :
Page : 450 pages
File Size : 46,19 MB
Release : 1999
Category :
ISBN :
Author : Marc. A. Cooper
Publisher :
Page : 450 pages
File Size : 46,19 MB
Release : 1999
Category :
ISBN :
Author : Yousry Azmy
Publisher : Springer Science & Business Media
Page : 476 pages
File Size : 44,30 MB
Release : 2010-04-15
Category : Technology & Engineering
ISBN : 9048134110
Nuclear engineering has undergone extensive progress over the years. In the past century, colossal developments have been made and with specific reference to the mathematical theory and computational science underlying this discipline, advances in areas such as high-order discretization methods, Krylov Methods and Iteration Acceleration have steadily grown. Nuclear Computational Science: A Century in Review addresses these topics and many more; topics which hold special ties to the first half of the century, and topics focused around the unique combination of nuclear engineering, computational science and mathematical theory. Comprising eight chapters, Nuclear Computational Science: A Century in Review incorporates a number of carefully selected issues representing a variety of problems, providing the reader with a wealth of information in both a clear and concise manner. The comprehensive nature of the coverage and the stature of the contributing authors combine to make this a unique landmark publication. Targeting the medium to advanced level academic, this book will appeal to researchers and students with an interest in the progression of mathematical theory and its application to nuclear computational science.
Author : Phiphat Phruksarojanakun
Publisher :
Page : 168 pages
File Size : 21,84 MB
Release : 2007
Category :
ISBN :
Author : Scott Allen Turner
Publisher :
Page : 252 pages
File Size : 31,25 MB
Release : 1996
Category :
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Author : Thomas A. Brunner
Publisher :
Page : 242 pages
File Size : 31,29 MB
Release : 2000
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Author :
Publisher :
Page : 708 pages
File Size : 11,54 MB
Release : 1999
Category : Dissertations, Academic
ISBN :
Author : Thomas M. Semkow
Publisher :
Page : 402 pages
File Size : 43,85 MB
Release : 2007
Category : Science
ISBN :
This book will broach the topics of applied nuclear science in general, and nuclear chemistry in particular where there is usually a modeling or computational component. Typically one finds several modelers presenting their work in the course of almost every symposium. It's imperative to bring all such theoretical and computational work in applied nuclear science under one umbrella and thats what this book aims to do. The nuclear scientists interested in modeling are lacking a broader forum for their research, as well as a vehicle to enable those learning related techniques. The editors intend to include several topics: radiation risk assessment, radiation transport, contaminant transport, radiation dosimetry, modeling of experiments, detection limits, nuclear data analysis and statistical aspects.
Author : Dan Gabriel Cacuci
Publisher : Springer Science & Business Media
Page : 3701 pages
File Size : 43,56 MB
Release : 2010-09-14
Category : Science
ISBN : 0387981306
This is an authoritative compilation of information regarding methods and data used in all phases of nuclear engineering. Addressing nuclear engineers and scientists at all levels, this book provides a condensed reference on nuclear engineering since 1958.
Author :
Publisher :
Page : pages
File Size : 41,66 MB
Release : 2019
Category :
ISBN : 9781789855463
Author : Alireza Haghighat
Publisher : CRC Press
Page : 279 pages
File Size : 22,25 MB
Release : 2020-08-09
Category : Mathematics
ISBN : 042958220X
Fully updated with the latest developments in the eigenvalue Monte Carlo calculations and automatic variance reduction techniques and containing an entirely new chapter on fission matrix and alternative hybrid techniques. This second edition explores the uses of the Monte Carlo method for real-world applications, explaining its concepts and limitations. Featuring illustrative examples, mathematical derivations, computer algorithms, and homework problems, it is an ideal textbook and practical guide for nuclear engineers and scientists looking into the applications of the Monte Carlo method, in addition to students in physics and engineering, and those engaged in the advancement of the Monte Carlo methods. Describes general and particle-transport-specific automated variance reduction techniques Presents Monte Carlo particle transport eigenvalue issues and methodologies to address these issues Presents detailed derivation of existing and advanced formulations and algorithms with real-world examples from the author’s research activities