| The Factorization Method for Inverse Problems Contributor(s): Kirsch, Andreas (Author), Grinberg, Natalia (Author) |
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ISBN: 0199213534 ISBN-13: 9780199213535 Publisher: Oxford University Press, USA OUR PRICE: $123.50 Product Type: Hardcover - Other Formats Published: February 2008 Annotation: The factorization method is a relatively new method for solving certain types of inverse scattering problems in tomography. Aimed at students and researchers in Applied Mathematics, Physics, and Engineering, this text introduces the reader to this promising approach for solving important classes of inverse problems. The wide applicability of this method is discussed by choosing typical examples, such as inverse scattering problems for the scalar Helmholtz equation, a scattering problem for Maxwell's equation, and a problem in impedance and optical tomography. The last section of the book compares the Factorization Method to established sampling methods (the Linear Sampling Method, the Singular Method, and the Probe Method) |
| Additional Information |
| BISAC Categories: - Mathematics | Differential Equations - General - Mathematics | Applied |
| Dewey: 515.35 |
| LCCN: 2008297112 |
| Series: Oxford Lecture Series in Mathematics and Its Applications |
| Physical Information: 0.8" H x 6.1" W x 9.2" (1.00 lbs) 216 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: The factorization method is a relatively new method for solving certain types of inverse scattering problems in tomography. Aimed at students and researchers in Applied Mathematics, Physics, and Engineering, this text introduces the reader to this promising approach for solving important classes of inverse problems. The wide applicability of this method is discussed by choosing typical examples, such as inverse scattering problems for the scalar Helmholtz equation, a scattering problem for Maxwell's equation, and a problem in impedance and optical tomography. The last section of the book compares the Factorization Method to established sampling methods (the Linear Sampling Method, the Singular Method, and the Probe Method) |
