Approximate Global Convergence and Adaptivity for Coefficient Inverse Problems
Autor Larisa Beilina, Michael Victor Klibanoven Limba Engleză Hardback – 9 mar 2012
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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Specificații
ISBN-13: 9781441978042
ISBN-10: 1441978046
Pagini: 424
Ilustrații: XVI, 408 p.
Dimensiuni: 155 x 235 x 33 mm
Greutate: 0.73 kg
Ediția:2012
Editura: Springer
Colecția Springer
Locul publicării:New York, NY, United States
ISBN-10: 1441978046
Pagini: 424
Ilustrații: XVI, 408 p.
Dimensiuni: 155 x 235 x 33 mm
Greutate: 0.73 kg
Ediția:2012
Editura: Springer
Colecția Springer
Locul publicării:New York, NY, United States
Public țintă
ResearchCuprins
Two Central Questions of This Book and an Introduction to the Theories of Ill-Posed and Coefficient Inverse Problems.- Approximately Globally Convergent Numerical Method.- Numerical Implementation of the Approximately Globally Convergent Method.- The Adaptive Finite Element Technique and its Synthesis with the Approximately Globally Convergent Numerical Method.- Blind Experimental Data.- Backscattering Data.
Textul de pe ultima copertă
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.
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.
Caracteristici
Introduces pioneering results of the authors’ own experiments on coefficient inverse problems
Provides recipes for numerical implementations of developed algorithms
Demonstrates performance of algorithms in both synthetic and experimental data
Includes supplementary material: sn.pub/extras
Provides recipes for numerical implementations of developed algorithms
Demonstrates performance of algorithms in both synthetic and experimental data
Includes supplementary material: sn.pub/extras