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Statistical and Computational Inverse Problems

Jari Kaipio E. Somersalo

Edit� par Springer, 2004

ISBN 10 : 0387220739 ISBN 13 : 9780387220734

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Etat : New. pp. 360. N� de r�f. du vendeur 26284312

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Statistical and Computational Inverse Problems

Kaipio Jari Somersalo E.

Edit� par Springer, 2004

ISBN 10 : 0387220739 ISBN 13 : 9780387220734

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Etat : New. pp. 360 Illus. N� de r�f. du vendeur 7596359

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Statistical and Computational Inverse Problems

Kaipio Jari Somersalo E.

Edit� par Springer, 2004

ISBN 10 : 0387220739 ISBN 13 : 9780387220734

Neuf Couverture rigide

Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne

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Etat : New. pp. 360. N� de r�f. du vendeur 18284306

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Statistical and Computational Inverse Problems (Applied Mathematical Sciences Volume 160)

Kaipio, Jari; Somersalo, Erkki

Edit� par Springer, NY, 2004

ISBN 10 : 0387220739 ISBN 13 : 9780387220734

Ancien ou d'occasion Couverture rigide

Vendeur : Florida Mountain Book Co., Datil, NM, Etats-Unis

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Etat : 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 Besides the simple examples, the book contains previously unpublished research material, where the statistical approach is developed further to treat such problems as discretization errors, and statistical model reduction.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. N� de r�f. du vendeur 009890

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Statistical And Computational Inverse Problems

Edit� par Springer, 2004

ISBN 10 : 0387220739 ISBN 13 : 9780387220734

Neuf Couverture rigide

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Etat : Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. N� de r�f. du vendeur ABEJUNE24-84336

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Statistical And Computational Inverse Problems

Kaipio, Jari; Somersalo, E.

Edit� par Springer, 2004

ISBN 10 : 0387220739 ISBN 13 : 9780387220734

Neuf Couverture rigide

Vendeur : Romtrade Corp., STERLING HEIGHTS, MI, Etats-Unis

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Etat : New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide. N� de r�f. du vendeur ABNR-91696

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STATISTICAL & COMPUTATIONAL INVERSE PROBLEMS

KAIPIO/ SOMERSALO

Edit� par Springer, 2005

ISBN 10 : 0387220739 ISBN 13 : 9780387220734

Neuf Couverture rigide

Vendeur : LIBRERIA LEA+, Santiago, RM, Chili

�valuation du vendeur 3 sur 5 �toiles

Dura. Etat : New. Etat de la jaquette : Nuevo. No Aplica (illustrateur). 0. 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. The book is intended to researchers and advanced students in applied mathematics, computational physics and engineering. The first part of the book can be used as a text book on advanced inverse problems. The authors Jari Kaipio and Erkki Somersalo are Professors in the Applied Physics Department of the University of Kuopio, Finland and the Mathematics Department at the Helsinki University of Technology, Finland, respectively. 620 gr. Libro. N� de r�f. du vendeur 9780387220734LEA45925

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