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Author:
Cakoni, Fioralba.
Title:
The linear sampling method in inverse electromagnetic scattering / Fioralba Cakoni, David Colton, Peter Monk.
Publisher:
Society for Industrial and Applied Mathematics,
Copyright Date:
c2011
Description:
x, 138 p. : ill. ; 25 cm.
Subject:
Scattering (Physics)--Mathematics.
Electromagnetic waves--Scattering.
Inverse problems (Differential equations)--Numerical solutions.
Numerical analysis--Improperly posed problems.
Other Authors:
Colton, David L., 1943-
Monk, Peter, 1956-
Conference Board of the Mathematical Sciences.
National Science Foundation (U.S.)
Notes:
Includes bibliographical references and index. "Sponsored by Conference Board of the Mathematical Sciences"--Cover.
Contents:
Inverse scattering in two dimensions -- Maxwell's equations -- The inverse problem for obstacles -- The inverse scattering problem for anisotropic media -- The inverse scattering problem for thin objects -- The inverse scattering problem for buried objects.
Summary:
The linear sampling method is the oldest and most developed of the qualitative methods in inverse scattering theory. It is based on solving a linear integral equation and then using the equation's solution as an indicator function for the determination of the support of the scattering object. This book describes the linear sampling method for a variety of electromagnetic scattering problems. It presents uniqueness theorems and the derivation of various inequalities on the material properties of the scattering object from a knowledge of the far field pattern of the scattered wave. Also covered are: the approximation properties of Herglotz wave functions; the behavior of solutions to the interior transmission problem, a novel interior boundary value problem; and numerical examples of the inversion scheme.
Series:
CBMS-NSF regional conference series in applied mathematics ; 80.
ISBN:
0898719399
9780898719390
OCLC:
(OCoLC)669160704
LCCN:
2010039283
Locations:
USUX851 -- Iowa State University - Parks Library (Ames)
OIAX792 -- Grinnell College (Grinnell)

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