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 ...
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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
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Add this copy of The Linear Sampling Method in Inverse Electromagnetic to cart. $47.76, good condition, Sold by Cambridge Rare Books rated 4.0 out of 5 stars, ships from Cambridge, Gloucestershire, UNITED KINGDOM, published 2011 by Society for Industrial and Applied Mathematics.
Edition:
2010, Society for Industrial & Applied Mathematics,U.S.
Publisher:
Society for Industrial & Applied Mathematics,U.S.
Published:
2011
Alibris ID:
17611827528
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2011-01-13. Society for Industrial and Applied Mathematics. Softcover. GOOD First edition. Book is stamped with the word damaged however it is in good condition.
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2010, Society for Industrial & Applied Mathematics,U.S.
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2010, Society for Industrial & Applied Mathematics,U.S.
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2010, Society for Industrial & Applied Mathematics,U.S.
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Edition:
2010, Society for Industrial & Applied Mathematics,U.S.