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Publicado por Elsevier Science 2011-06-10, 2011
ISBN 10: 0444515755 ISBN 13: 9780444515759
Librería: Chiron Media, Wallingford, Reino Unido
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Añadir al carritoHardcover. Condición: New.
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Añadir al carritoCondición: New.
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Añadir al carritoCondición: New. pp. xvi + 384 1st Edition.
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Añadir al carritoCondición: New. pp. xvi + 384.
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Elsevier Science & Technology, 2011
ISBN 10: 0444515755 ISBN 13: 9780444515759
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
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Añadir al carritoHardback. Condición: New. New copy - Usually dispatched within 4 working days.
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Añadir al carritoCondición: New. 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 functionsAutor/Autorin.
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Añadir al carritoHardcover. Condición: Brand New. 1st edition. 398 pages. 9.10x6.10x1.00 inches. In Stock.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
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Añadir al carritoCondición: new. Questo è un articolo print on demand.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 108,17
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Añadir al carritoHardcover. Condición: Brand New. 1st edition. 398 pages. 9.10x6.10x1.00 inches. In Stock. This item is printed on demand.
Idioma: Inglés
Publicado por Elsevier Science & Technology, 2011
ISBN 10: 0444515755 ISBN 13: 9780444515759
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
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Añadir al carritoHardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Idioma: Inglés
Publicado por Elsevier Science Jun 2011, 2011
ISBN 10: 0444515755 ISBN 13: 9780444515759
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 150,00
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Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. Englisch.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 156,09
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Añadir al carritoBuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.