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You searched IISERK - Subject: Underwater archaeology Case studies.
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Call Number
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518/.6
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Author
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Cakoni, Fioralba.
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Title
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The linear sampling method in inverse electromagnetic scattering [electronic resource] / Fioralba Cakoni, David Colton, Peter Monk.
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Publication
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Philadelphia, Pa. : Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104), 2011.
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Material Info.
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1 electronic text (x, 138 p.) : digital file.
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Series
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CBMS-NSF regional conference series in applied mathematics ; 80
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Series
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CBMS-NSF regional conference series in applied mathematics ; 80.
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Summary Note
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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.
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Notes
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Includes bibliographical references and index.
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Notes
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Preface -- 1. Inverse scattering in two dimensions -- 2. Maxwell's equations -- 3. The inverse scattering problem for obstacles -- 4. The inverse scattering problem for anisotropic media -- 5. The inverse scattering problem for thin objects -- 6. The inverse scattering problem for buried objects -- Bibliography -- Index.
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ISBN
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9780898719406 (electronic bk.)
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Subject
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Scattering (Physics) Mathematics.
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Subject
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Electromagnetic waves Scattering.
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Subject
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Inverse problems (Differential equations) Numerical solutions.
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Subject
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Numerical analysis Improperly posed problems.
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Subject
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Inverse scattering
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Subject
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Electromagnetic waves
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Subject
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Linear sampling
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Subject
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Numerical Methods
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Subject
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Uniqueness theorems
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Added Entry
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Colton, David L., 1943-
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Added Entry
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Monk, Peter, 1956-
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Added Entry
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Society for Industrial and Applied Mathematics.
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Date
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Year, Month, Day:01405141
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Link
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SIAM
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