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Exploring Monte Carlo methods /

Exploring Monte Carlo Methods is a basic text that describes the numerical methods that have come to be known as "Monte Carlo." The book treats the subject generically through the first eight chapters and, thus, should be of use to anyone who wants to learn to use Monte Carlo. The next two...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Dunn, William L. (William Lee), 1944-
Otros Autores: Shultis, J. Kenneth
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam ; Boston : Elsevier/Academic Press, �2012.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Dunn, William L.  |q (William Lee),  |d 1944- 
245 1 0 |a Exploring Monte Carlo methods /  |c William L. Dunn, J. Kenneth Shultis. 
260 |a Amsterdam ;  |a Boston :  |b Elsevier/Academic Press,  |c �2012. 
300 |a 1 online resource (xvi, 384 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |2 rda 
504 |a Includes bibliographical references and index. 
505 0 |a Introduction -- The Basis of Monte Carlo -- Pseudorandom Number Generators -- Sampling, Scoring, and Precision -- Variance Reduction Techniques -- Markov Chain Monte Carlo -- Inverse Monte Carlo -- Linear Operator Equations -- The Fundamentals of Neutral Particle Transport -- Monte Carlo Simulation of Neutral Particle Transport -- Appendices -- Index. 
520 |a Exploring Monte Carlo Methods is a basic text that describes the numerical methods that have come to be known as "Monte Carlo." The book treats the subject generically through the first eight chapters and, thus, should be of use to anyone who wants to learn to use Monte Carlo. The next two chapters focus on applications in nuclear engineering, which are illustrative of uses in other fields. Five appendices are included, which provide useful information on probability distributions, general-purpose Monte Carlo codes for radiation transport, and other matters. The famous "Buffon's needle problem" provides a unifying theme as it is repeatedly used to illustrate many features of Monte Carlo methods. This book provides the basic detail necessary to learn how to apply Monte Carlo methods and thus should be useful as a text book for undergraduate or graduate courses in numerical methods. It is written so that interested readers with only an understanding of calculus and differential equations can learn Monte Carlo on their own. Coverage of topics such as variance reduction, pseudo-random number generation, Markov chain Monte Carlo, inverse Monte Carlo, and linear operator equations will make the book useful even to experienced Monte Carlo practitioners. Provides a concise treatment of generic Monte Carlo methods Proofs for each chapter Appendixes include Certain mathematical functions; Bose Einstein functions, Fermi Dirac functions, Watson functions. 
588 0 |a Print version record. 
546 |a English. 
650 0 |a Monte Carlo method. 
650 2 |a Monte Carlo Method  |0 (DNLM)D009010 
650 6 |a M�ethode de Monte-Carlo.  |0 (CaQQLa)201-0077595 
650 7 |a MATHEMATICS  |x Numerical Analysis.  |2 bisacsh 
650 7 |a Monte Carlo method  |2 fast  |0 (OCoLC)fst01025819 
700 1 |a Shultis, J. Kenneth. 
776 0 8 |i Print version:  |a Dunn, William L. (William Lee), 1944-  |t Exploring Monte Carlo methods.  |d Amsterdam ; Boston : Elsevier, �2012  |z 9780444515759  |w (DLC) 2010050137  |w (OCoLC)692291772 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780444515759  |z Texto completo