Idioma: Inglés
Publicado por Springer (edition 2005), 2004
ISBN 10: 0387220739 ISBN 13: 9780387220734
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Añadir al carritoHardcover. Condición: Very Good. 2005. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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Añadir al carritoCondición: New. pp. 360.
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Añadir al carritoCondición: New. pp. 360 Illus.
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Añadir al carritoCondición: New. pp. 360.
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Añadir al carritoCondición: Very Good+. Hardcover, [xvi], 339 pages. Very Good+ condition. Size 9.5"x6.375". "The book develops the statistical approach to inverse problems with an emphasis on modeling and computations. The framework is the Bayesian paradigm, where all variables are modeled as random variables, the randomness reflecting the degree of belief of their values, and the solution of the inverse problem is expressed in terms of probability densities. The book discusses in detail the construction of prior models, the measurement noise modeling and Bayesian estimation. Markov Chain Monte Carlo-methods as well as optimization methods are employed to explore the probability distributions. The results and techniques are clarified with classroom examples that are often non-trivial but easy to follow. Besides the simple examples, the book contains previously unpublished research material, where the statistical approach is developed further to treat such problems as discretization errors, and statistical model reduction. Furthermore, the techniques are then applied to a number of real world applications such as limited angle tomography, image deblurring, electrical impedance tomography and biomagnetic inverse problems." Book has moderate exterior shelfwear, else Fine condition, clean and unmarked.
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Añadir al carritoBrand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
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Añadir al carritoCondición: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,650grams, ISBN:9781441919649.
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Idioma: Inglés
Publicado por Springer-Verlag New York Inc., 2004
ISBN 10: 0387220739 ISBN 13: 9780387220734
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Añadir al carritoHardback. Condición: New. New copy - Usually dispatched within 3 working days.
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Idioma: Inglés
Publicado por Springer-Verlag New York Inc., US, 2004
ISBN 10: 0387220739 ISBN 13: 9780387220734
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
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Añadir al carritoHardback. Condición: New. 2005 ed. This book develops the statistical approach to inverse problems with an emphasis on modeling and computations. The framework is the Bayesian paradigm, where all variables are modeled as random variables, the randomness reflecting the degree of belief of their values, and the solution of the inverse problem is expressed in terms of probability densities. The book discusses in detail the construction of prior models, the measurement noise modeling and Bayesian estimation. Markov Chain Monte Carlo-methods as well as optimization methods are examples that are often non-trivial, but easy to follow. Besides the simple examples, the book contains problems as discretization errors, and statistical model reduction. Furthermore, the techniques are then applied to a number of real world applications such as limited angle tomography, image deblurring, electrical impedance tomography, and biomagnetic inverse problems. The book is intended for researchers and advanced students in applied mathematics, computational physics, and engineering. The first part of the book can be used as a textbook on advanced inverse problems courses.
EUR 143,21
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Añadir al carritoCondición: New. This book covers the statistical mechanics approach to computational solution of inverse problems, an innovative area of current research with very promising numerical results. The techniques are applied to a number of real world applicatio.
EUR 155,88
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is aimed at postgraduate students in applied mathematics as well as at engineering and physics students with a rm background in mathem- ics. The rst four chapters can be used as the material for a rst course on inverse problems with a focus on computational and statistical aspects. On the other hand, Chapters 3 and 4, which discuss statistical and nonstati- ary inversion methods, can be used by students already having knowldege of classical inversion methods. There is rich literature, including numerous textbooks, on the classical aspects of inverse problems. From the numerical point of view, these books concentrate on problems in which the measurement errors are either very small or in which the error properties are known exactly. In real-world pr- lems, however, the errors are seldom very small and their properties in the deterministic sensearenot wellknown.For example,inclassicalliteraturethe errornorm is usuallyassumed to be a known realnumber. In reality,the error norm is a random variable whose mean might be known.
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Añadir al carritoPaperback. Condición: Like New. Like New. book.
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Añadir al carritoBuch. Condición: Neu. Statistical and Computational Inverse Problems | Jari Kaipio (u. a.) | Buch | xvi | Englisch | 2004 | Springer | EAN 9780387220734 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Idioma: Inglés
Publicado por Springer-Verlag New York Inc., US, 2004
ISBN 10: 0387220739 ISBN 13: 9780387220734
Librería: Rarewaves.com UK, London, Reino Unido
EUR 184,34
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Añadir al carritoHardback. Condición: New. 2005 ed. This book is aimed at postgraduate students in applied mathematics as well as at engineering and physics students with a ?rm background in mathem- ics. The ?rst four chapters can be used as the material for a ?rst course on inverse problems with a focus on computational and statistical aspects. On the other hand, Chapters 3 and 4, which discuss statistical and nonstati- ary inversion methods, can be used by students already having knowldege of classical inversion methods. There is rich literature, including numerous textbooks, on the classical aspects of inverse problems. From the numerical point of view, these books concentrate on problems in which the measurement errors are either very small or in which the error properties are known exactly. In real-world pr- lems, however, the errors are seldom very small and their properties in the deterministic sensearenot wellknown.For example,inclassicalliteraturethe errornorm is usuallyassumed to be a known realnumber. In reality,the error norm is a random variable whose mean might be known.
Idioma: Chino
Publicado por World Book Publishing Company, 2015
ISBN 10: 7510086310 ISBN 13: 9787510086311
Librería: liu xing, Nanjing, JS, China
EUR 62,57
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Añadir al carritopaperback. Condición: New. Language:Chinese.Statistical and computational inverse problems.
Idioma: Inglés
Publicado por New York, Berlin , Springer, 2005
Librería: Chiemgauer Internet Antiquariat GbR, Altenmarkt, BAY, Alemania
Original o primera edición
EUR 55,50
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Añadir al carritoOriginalpappband. 25 cm. Condición: Wie neu. First edition. XVI,339 Seiten. INDEX. In EXCELLENT shape. AS NEW. ( we offer a lot of excellent books on PHYSICS and MATHEMATICS on our HP in EXCELLENT SHAPE ) Sprache: Englisch Gewicht in Gramm: 700.