Overview
- Provides a basic introduction to direct and inverse scattering theory
- Introduces the main themes of the new qualitative approach to inverse scattering theory
- Provides a systematic approach to the theory of transmission eigenvalues which at this time is an extremely active area of research in inverse scattering theory
- Offers a basic introduction to the advanced mathematics needed to understand current research papers in inverse scattering theory
- Includes supplementary material: sn.pub/extras
Part of the book series: Applied Mathematical Sciences (AMS, volume 188)
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Table of contents (10 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Inverse scattering theory is an important area of applied mathematics due to its central role in such areas as medical imaging , nondestructive testing and geophysical exploration. Until recently all existing algorithms for solving inverse scattering problems were based on using either a weak scattering assumption or on the use of nonlinear optimization techniques. The limitations of these methods have led in recent years to an alternative approach to the inverse scattering problem which avoids the incorrect model assumptions inherent in the use of weak scattering approximations as well as the strong a priori information needed in order to implement nonlinear optimization techniques. These new methods come under the general title of qualitative methods in inverse scattering theory and seek to determine an approximation to the shape of the scattering object as well as estimates on its material properties without making any weak scattering assumption and using essentially no a priori information on the nature of the scattering object. This book is designed to be an introduction to this new approach in inverse scattering theory focusing on the use of sampling methods and transmission eigenvalues. In order to aid the reader coming from a discipline outside of mathematics we have included background material on functional analysis, Sobolev spaces, the theory of ill posed problems and certain topics in in the theory of entire functions of a complex variable. This book is an updated and expanded version of an earlier book by the authors published by Springer titled Qualitative Methods in Inverse Scattering Theory
Review of Qualitative Methods in Inverse Scattering Theory All in all, the authors do exceptionally well in combining such a wide variety of mathematical material and in presenting it in a well-organized and easy-to-follow fashion. This text certainly complements the growing body of work in inverse scattering and should well suit both new researchers to the field as well as those who could benefit from such a nice codified collection of profitable results combined in one bound volume. SIAM Review, 2006
Reviews
From the book reviews:
“This monograph provides an introduction to the ideas of inverse scattering theory in the framework of classical integral equation methods and is intended as an (advanced) introductory text into this particular research field. … The monograph can serve as a focused record of the essential building blocks of the integral equation approach to scattering theory and is well able to act as a door-opener into the intricacies of the vast body of literature in the field of electromagnetic scattering.” (Rainer Picard, zbMATH, Vol. 1302, 2015)
“This valuable book is an introduction to qualitative methods in inverse scattering theory … . The book is accessible to anyone with a basic mathematical background in advanced calculus and linear algebra … .after having mastered the material in it the reader will be fully prepared to understand the literature on qualitative methods for inverse scattering problems in other areas of application, such as acoustics and elasticity.” (Barbara Prinari, Mathematical Reviews, November, 2014)Authors and Affiliations
About the authors
Bibliographic Information
Book Title: A Qualitative Approach to Inverse Scattering Theory
Authors: Fioralba Cakoni, David Colton
Series Title: Applied Mathematical Sciences
DOI: https://doi.org/10.1007/978-1-4614-8827-9
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media New York 2014
Hardcover ISBN: 978-1-4614-8826-2Published: 29 October 2013
Softcover ISBN: 978-1-4899-7960-5Published: 23 August 2016
eBook ISBN: 978-1-4614-8827-9Published: 28 October 2013
Series ISSN: 0066-5452
Series E-ISSN: 2196-968X
Edition Number: 1
Number of Pages: X, 297
Number of Illustrations: 15 b/w illustrations
Topics: Partial Differential Equations, Electrical Engineering, Theoretical, Mathematical and Computational Physics, Fourier Analysis