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EBOOK
Author Kaipio, Jari.
Title Statistical and computational inverse problems / Jari Kaipio and Erkki Somersalo.
Imprint New York : Springer, 2005.

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LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
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Author Kaipio, Jari.
Series Applied mathematical sciences ; v. 160
Applied mathematical sciences (Springer-Verlag New York Inc.) ; v. 160.
Subject Inverse problems (Differential equations)
Inverse problems (Differential equations) -- Numerical solutions.
Alt Name Somersalo, Erkki.
Description 1 online resource (xvi, 339 pages) : illustrations.
Bibliography Note Includes bibliographical references (pages 329-335) and index.
Summary "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 Besides the simple examples, the book contains previously unpublished research material, where the statistical approach is developed further to treat such problems as discretization errors, and statistical model reduction.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 for researchers and advanced students in applied mathematics, computational physics and engineering. The first part of the book can be used as a text book for courses on advanced inverse problems."--Jacket.
Contents Inverse Problems and Interpretations of Measurements -- Classical Regularization Methods -- Statistical Inversion Theory -- Nonstationary Inverse Problems -- Classical Methods Revisited -- Model Problems -- Case Studies.
ISBN 0387220739 (acid-free paper)
9780387220734 (acid-free paper)
0387271325 (electronic bk.)
9780387271323 (electronic bk.)
6610263124
9786610263127
OCLC # 63162233
Link Springer e-books
Additional Format Print version: Kaipio, Jari. Statistical and computational inverse problems. New York : Springer, 2005 0387220739 (DLC) 2004049181 (OCoLC)55220371


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