PDF Ebook Exploring Monte Carlo Methods By William L. Dunn, J. Kenneth Shultis

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Exploring Monte Carlo Methods By William L. Dunn, J. Kenneth Shultis

PDF Ebook Exploring Monte Carlo Methods By William L. Dunn, J. Kenneth Shultis

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Sales Rank: #2029505 in Books
Published on: 2011-04-20
Original language: English
Number of items: 1
Dimensions: 9.02" h x .88" w x 5.98" l, 1.35 pounds
Binding: Hardcover
398 pages

Review

"Anyone interested in learning about the basics of the Monte Carlo method, and its potential applications, will find this an excellent book…ideal book for an undergraduate or graduate course in mathematics or statistics." --IEEE Electrical Insulation Magazine

"Emphasizing the burgeoning practical applications rather than strict mathematical rigor of methods that have been used for about a century, this text is intended as an introduction for undergraduate or graduate courses, as a self-teaching guide, and as a reference. The first eight chapters are generic and are relevant to applications in any field. They include discussion of history and definition; the basis; sampling, scoring, and precision; variance reduction techniques; Markov chain and inverse Monte Carlo; and linear operator equations. Following are two chapters on radiation transport, a field familiar to authors William L. Dunn and J. Kenneth Shultis (both are nuclear engineers affiliated with Kansas State U.), but the focus remains on general principles that can be applied in many fields. Each chapter includes examples and problems and exercises. Five appendices contain supporting material." --Reference and Research Book News

"Overall, the book is very well written, and the contents are concisely and logically introduced. It should be very useful as a textbook for undergraduate or graduate courses in numerical methods employing Monte Carlo techniques like molecular simulations." --Contemporary Physics

From the Back Cover

Exploring Monte Carlo Methods presents the numerical methods that have come to be known as "Monte Carlo." The book treats the subject generically using Buffon’s needle problem to illustrate many features of Monte Carlo methods. The book is useful to anyone who wants to learn to use Monte Carlo and can be used as a self-study guide for students.

In addition, the 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. Useful information on probability distributions, general-purpose Monte Carlo codes for radiation transport, and other matters are also included.

Key Features:

Offers Nuclear Engineering Applications illustrative of uses in other fields

Provides Large, general-purpose Monte Carlo codes

Includes Accessible mathematical proofs

About the Author
Dr. Dunn is with the Department of Mechanical and Nuclear Engineering at Kansas State University and was President of Quantum Research Services from 1988-2002. His research activities are primarily in the area of radiation applications. He is an Editor of the journal Applied Radiation and Isotopes and serves as Vice President, North America, of the International Radiation Physics Society.

Dr. Shultis has served as a faculty member in Nuclear Engineering for 38 years. He has written five books, including two that are routinely used as text books, and over 170 technical publications. His research interests include transport theory and radiative transfer, radiation protection and shielding, detector design and analysis, numerical analysis, radiological assessment, remote sensing, and risk analysis.

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