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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Bibliographic Details
Online Access: Full Text (via ProQuest)
Main Author: Dunn, William L.
Other Authors: Shultis, J. Kenneth
Format: eBook
Language:English
Published: Burlington : Elsevier Science, 2011.
Subjects:

MARC

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505 0 |a Cover image; Table of Contents; Praise for Exploring Monte Carlo Methods; Front Matter; Copyright; Dedication; Preface; 1. Introduction; 2. The Basis of Monte Carlo; 3. Pseudorandom Number Generators; 4. Sampling, Scoring, and Precision; 5. Variance Reduction Techniques; 6. Markov Chain Monte Carlo; 7. Inverse Monte Carlo; 8. Linear Operator Equations; 9. The Fundamentals of Neutral Particle Transport; 10. Monte Carlo Simulation of Neutral Particle Transport; A. Some Common Probability Distributions; B. The Weak and Strong Laws of Large Numbers; C. Central Limit Theorem. 
505 8 |a D. Some Popular Monte Carlo Codes for Particle TransportE. Minimal Standard Pseudorandom Number Generator; 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 proble. 
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