Dissertation Abstracts International
Author :
Publisher :
Page : 820 pages
File Size : 34,58 MB
Release : 2004
Category : Dissertations, Academic
ISBN :
Author :
Publisher :
Page : 820 pages
File Size : 34,58 MB
Release : 2004
Category : Dissertations, Academic
ISBN :
Author : Alireza Haghighat
Publisher : CRC Press
Page : 279 pages
File Size : 18,72 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
Author :
Publisher :
Page : 1556 pages
File Size : 24,14 MB
Release : 1992
Category : Aeronautics
ISBN :
Author : American Nuclear Society
Publisher :
Page : 964 pages
File Size : 43,42 MB
Release : 1958
Category : Nuclear engineering
ISBN :
Author :
Publisher :
Page : 1180 pages
File Size : 12,35 MB
Release : 1993
Category : Physics
ISBN :
Author :
Publisher :
Page : 1284 pages
File Size : 25,36 MB
Release : 1982
Category : Aeronautics
ISBN :
Author :
Publisher :
Page : 2264 pages
File Size : 22,97 MB
Release : 1992
Category : Engineering
ISBN :
Since its creation in 1884, Engineering Index has covered virtually every major engineering innovation from around the world. It serves as the historical record of virtually every major engineering innovation of the 20th century. Recent content is a vital resource for current awareness, new production information, technological forecasting and competitive intelligence. The world?s most comprehensive interdisciplinary engineering database, Engineering Index contains over 10.7 million records. Each year, over 500,000 new abstracts are added from over 5,000 scholarly journals, trade magazines, and conference proceedings. Coverage spans over 175 engineering disciplines from over 80 countries. Updated weekly.
Author : Arnaud Doucet
Publisher : Springer Science & Business Media
Page : 590 pages
File Size : 43,27 MB
Release : 2013-03-09
Category : Mathematics
ISBN : 1475734379
Monte Carlo methods are revolutionizing the on-line analysis of data in many fileds. They have made it possible to solve numerically many complex, non-standard problems that were previously intractable. This book presents the first comprehensive treatment of these techniques.
Author : Jun S. Liu
Publisher : Springer Science & Business Media
Page : 350 pages
File Size : 20,59 MB
Release : 2013-11-11
Category : Mathematics
ISBN : 0387763716
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 "standardized" and compared. Given the interdisciplinary nature of the topics and a moderate prerequisite for the reader, this book should be of interest to a broad audience of quantitative researchers such as computational biologists, computer scientists, econometricians, engineers, probabilists, and statisticians. It can also be used as a textbook for a graduate-level course on Monte Carlo methods.
Author : David P. Landau
Publisher : Cambridge University Press
Page : 402 pages
File Size : 38,67 MB
Release : 2000-08-17
Category : Mathematics
ISBN : 9780521653664
This book describes all aspects of Monte Carlo simulation of complex physical systems encountered in condensed-matter physics and statistical mechanics, as well as in related fields, such as polymer science and lattice gauge theory. The authors give a succinct overview of simple sampling methods and develop the importance sampling method. In addition they introduce quantum Monte Carlo methods, aspects of simulations of growth phenomena and other systems far from equilibrium, and the Monte Carlo Renormalization Group approach to critical phenomena. The book includes many applications, examples, and current references, and exercises to help the reader.