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Linear and Nonlinear Inverse Problems with Practical Applications (Paperback, New) Loot Price: R2,524
Discovery Miles 25 240
Linear and Nonlinear Inverse Problems with Practical Applications (Paperback, New): Jennifer L. Muller, Samuli Siltanen

Linear and Nonlinear Inverse Problems with Practical Applications (Paperback, New)

Jennifer L. Muller, Samuli Siltanen

Series: Computational Science and Engineering Series

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Loot Price R2,524 Discovery Miles 25 240 | Repayment Terms: R237 pm x 12*

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Inverse problems arise in practical applications whenever there is a need to interpret indirect measurements. This book explains how to identify ill-posed inverse problems arising in practice and how to design computational solution methods for them; explains computational approaches in a hands-on fashion, with related codes available on a website; and serves as a convenient entry point to practical inversion. The guiding linear inversion examples are the problem of image deblurring, x-ray tomography, and backward parabolic problems, including heat transfer, and electrical impedance tomography is used as the guiding nonlinear inversion example. The book's nonlinear material combines the analytic-geometric research tradition and the regularization-based school of thought in a fruitful manner, paving the way to new theorems and algorithms for nonlinear inverse problems. Furthermore, it is the only mathematical textbook with a thorough treatment of electrical impedance tomography, and these sections are suitable for beginning and experienced researchers in mathematics and engineering.

General

Imprint: Society For Industrial & Applied Mathematics,U.S.
Country of origin: United States
Series: Computational Science and Engineering Series
Release date: November 2012
First published: November 2012
Authors: Jennifer L. Muller • Samuli Siltanen
Dimensions: 229 x 152 x 17mm (L x W x T)
Format: Paperback - Trade
Pages: 364
Edition: New
ISBN-13: 978-1-61197-233-7
Categories: Books > Science & Mathematics > Mathematics > Numerical analysis
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LSN: 1-61197-233-7
Barcode: 9781611972337

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