Approximate Global Convergence and Adaptivity for Coefficient Inverse Problems

Author:   Larisa Beilina ,  Michael Victor Klibanov
Publisher:   Springer-Verlag New York Inc.
Edition:   2012 ed.
ISBN:  

9781489995308


Pages:   408
Publication Date:   13 April 2014
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Approximate Global Convergence and Adaptivity for Coefficient Inverse Problems


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Approximate Global Convergence and Adaptivity for Coefficient Inverse Problems is the first book in which two new concepts of numerical solutions of multidimensional Coefficient Inverse Problems (CIPs) for a hyperbolic Partial Differential Equation (PDE) are presented: Approximate Global Convergence and the Adaptive Finite Element Method (adaptivity for brevity). Two central questions for CIPs are addressed: How to obtain a good approximations for the exact solution without any knowledge of a small neighborhood of this solution, and how to refine it given the approximation. The book also combines analytical convergence results with recipes for various numerical implementations of developed algorithms. The developed technique is applied to two types of blind experimental data, which are collected both in a laboratory and in the field. The result for the blind backscattering experimental data collected in the field addresses a real world problem of imaging of shallow explosives.

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Author:   Larisa Beilina ,  Michael Victor Klibanov
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   2012 ed.
Dimensions:   Width: 15.50cm , Height: 2.50cm , Length: 23.50cm
Weight:   0.646kg
ISBN:  

9781489995308


ISBN 10:   1489995307
Pages:   408
Publication Date:   13 April 2014
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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