Exploring Monte Carlo Methods

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9780444515759: 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 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

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

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William L. Dunn, John Kenneth Shultis
Edité par ELSEVIER SCIENCE TECHNOLOGY, United Kingdom (2011)
ISBN 10 : 0444515755 ISBN 13 : 9780444515759
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Description du livre ELSEVIER SCIENCE TECHNOLOGY, United Kingdom, 2011. Paperback. État : New. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. 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. N° de réf. du libraire EOD9780444515759

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DUNN, WILLIAM; SHULTIS, J. KENNETH
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ISBN 10 : 0444515755 ISBN 13 : 9780444515759
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Description du livre Elsevier Science, 2011. Hardback. État : NEW. 9780444515759 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. N° de réf. du libraire HTANDREE0896665

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DUNN, WILLIAM; SHULTIS, J. KENNETH
Edité par Elsevier Science (2011)
ISBN 10 : 0444515755 ISBN 13 : 9780444515759
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Description du livre Elsevier Science, 2011. Hardback. État : NEW. 9780444515759 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. N° de réf. du libraire HTANDREE01202030

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William L. Dunn, J. Kenneth Shultis
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Description du livre Elsevier Science, 2011. Hardcover. État : New. 1. N° de réf. du libraire DADAX0444515755

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Dunn, William L./ Shultis, J. Kenneth
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Description du livre Elsevier Science Ltd, 2011. Hardcover. État : Brand New. 1st edition. 398 pages. 9.10x6.10x1.00 inches. In Stock. N° de réf. du libraire zk0444515755

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William L. Dunn; J. Kenneth Shultis
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William L. Dunn; J. Kenneth Shultis
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ISBN 10 : 0444515755 ISBN 13 : 9780444515759
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Description du livre Elsevier Science, 2011. Hardcover. État : New. book. N° de réf. du libraire 0444515755

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