Larisa Beilina, Michael Victor Klibanov

Approximate Global Convergence and Adaptivity for Coefficient Inverse Problems (eBook, PDF)

• Format: PDF

Produktbeschreibung

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 approximation 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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Produktdetails

• Verlag: Springer New York
• Seitenzahl: 408
• Erscheinungstermin: 9. März 2012
• Englisch
• ISBN-13: 9781441978059
• Artikelnr.: 37350419

Inhaltsangabe

Introduction to the theories of Ill-Posed and Coefficient Inverse Problems.- The Globally Convergent Numerical Method.- Numerical Implementation of the Globally Convergent Method.- Blind imaging of experimental data via the Globally Convergent Method.- The Adaptive Finite Element Technique and Its Synthesis with the Globally Convergent Method: The Two-Stage Numerical Procedure.- Analysis: Why the Adaptivity Refines the Image of the Globally Convergent Stage.- The Quasi-Reversibility Method and Global Convergence.-