Overview
- Describes recently developed numerical methods for the solution of inverse problems in electromagnetics
- Provides numerical verification of the proposed new methods for solving inverse problems in electromagnetics
- Applies methods to experimentally measured electromagnetic data
- Helps stimulate further research in the area of electromagnetics
Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 243)
Included in the following conference series:
Conference proceedings info: PIERS 2017. PIERS 2017.
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Table of contents (10 papers)
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Nonlinear and Inverse Problems in Electromagnetics
Keywords
About this book
This volume provides academic discussion on the theory and practice of mathematical analysis of nonlinear and inverse problems in electromagnetics and their applications. From mathematical problem statement to numerical results, the featured articles provide a concise overview of comprehensive approaches to the solution of problems. Articles highlight the most recent research concerning reliable theoretical approaches and numerical techniques and cover a wide range of applications, including acoustics, electromagnetics, optics, medical imaging, and geophysics. The nonlinear and ill-posed nature of inverse problems and the challenges they present when developing new numerical methods are explained, and numerical verification of proposed new methods on simulated and experimental data is provided.
Based on the special session of the same name at the 2017 Progress in Electromagnetics Research Symposium, this book offers a platform for interaction between theoretical and practical researchers and between senior and incoming members in the field.
Editors and Affiliations
About the editors
Yu. G. Smirnov is a professor at Penza State University.
Bibliographic Information
Book Title: Nonlinear and Inverse Problems in Electromagnetics
Book Subtitle: PIERS 2017, St. Petersburg, Russia, May 22-25
Editors: L. Beilina, Yu. G. Smirnov
Series Title: Springer Proceedings in Mathematics & Statistics
DOI: https://doi.org/10.1007/978-3-319-94060-1
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Hardcover ISBN: 978-3-319-94059-5Published: 21 July 2018
Softcover ISBN: 978-3-030-06787-8Published: 22 December 2018
eBook ISBN: 978-3-319-94060-1Published: 19 July 2018
Series ISSN: 2194-1009
Series E-ISSN: 2194-1017
Edition Number: 1
Number of Pages: VIII, 145
Number of Illustrations: 2 b/w illustrations, 52 illustrations in colour
Topics: Applications of Mathematics