TY  - BOOK
AU  - Beilina,Larisa
AU  - Klibanov,Michael Victor
ED  - SpringerLink (Online service)
TI  - Approximate Global Convergence and Adaptivity for Coefficient Inverse Problems
SN  - 9781441978059
AV  - QA370-380 
U1  - 515.353 23
PY  - 2012///
CY  - Boston, MA
PB  - Springer US
KW  - Mathematics
KW  - Global analysis (Mathematics)
KW  - Manifolds (Mathematics)
KW  - Partial differential equations
KW  - Numerical analysis
KW  - Physics
KW  - Applied mathematics
KW  - Engineering mathematics
KW  - Partial Differential Equations
KW  - Numerical and Computational Physics
KW  - Appl.Mathematics/Computational Methods of Engineering
KW  - Numerical Analysis
KW  - Global Analysis and Analysis on Manifolds
N1  - 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
N2  - 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
UR  - http://dx.doi.org/10.1007/978-1-4419-7805-9
ER  -