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
| ISBN: | 9780898719390 |
| Publication date: | 30th December 2010 |
| Author: | Fioralba Cakoni, David L Colton, Peter Monk |
| Publisher: | Society for Industrial and Applied Mathematics an imprint of SIAM - Society for Industrial and Applied Mathematics |
| Format: | Paperback |
| Pagination: | 138 pages |
| Series: | CBMS-NSF Regional Conference Series in Applied Mathematics |
| Genres: |
Applied mathematics |
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.
The Linear Sampling Method in Inverse Electromagnetic Scattering features in the following genres: Applied mathematics
Paperback. Not Available.
The Linear Sampling Method in Inverse Electromagnetic Scattering was written by Fioralba Cakoni, David L Colton, Peter Monk and published by Society for Industrial and Applied Mathematics an imprint of SIAM - Society for Industrial and Applied Mathematics
The Linear Sampling Method in Inverse Electromagnetic Scattering has 138 pages
Yes it is part of CBMS-NSF Regional Conference Series in Applied Mathematics series