Authors:
- Covers both mathematical analysis and computational techniques for solving direct and inverse problems
- Addresses recent significant developments as near field imaging, nonlinear optics, and optimal design problem
- Presents preliminary materials for students on diffraction problems in periodic structures and variational formulation
Part of the book series: Applied Mathematical Sciences (AMS, volume 208)
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (7 chapters)
-
Front Matter
-
Back Matter
About this book
Reviews
“The book is addressed to anybody working in the area of electromagnetic field computation of periodic structures, which is the back bone of modern optics.” (Mircea Dragoman, optica-opn.org, June 16, 2022)
“The book is quite interdisciplinary in nature and provides a balance between analytical and numerical methods. Plenty of references are provided as well.” (Eric Stachura, zbMATH 1484.35001, 2022)
Authors and Affiliations
-
School of Mathematical Sciences, Zhejiang University, Hangzhou, China
Gang Bao
-
Department of Mathematics, Purdue University, West Lafayette, USA
Peijun Li
About the authors
Peijun Li’s research area is applied and computational mathematics with an emphasis on modeling, analysis and computation of the direct and inverse scattering problems for acoustic, electromagnetic, and elastic wave propagation in complex and random environments. He has made important contributions to the area of inverse scattering and wave propagation. He was awarded the 5th Calderon Prize by the Inverse Problems International Association in 2015.
Bibliographic Information
Book Title: Maxwell’s Equations in Periodic Structures
Authors: Gang Bao, Peijun Li
Series Title: Applied Mathematical Sciences
DOI: https://doi.org/10.1007/978-981-16-0061-6
Publisher: Springer Singapore
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Science Press 2022
Hardcover ISBN: 978-981-16-0060-9Published: 06 October 2021
Softcover ISBN: 978-981-16-0063-0Published: 07 October 2022
eBook ISBN: 978-981-16-0061-6Published: 22 November 2021
Series ISSN: 0066-5452
Series E-ISSN: 2196-968X
Edition Number: 1
Number of Pages: XI, 355
Number of Illustrations: 15 b/w illustrations, 17 illustrations in colour
Topics: Partial Differential Equations, Computational Mathematics and Numerical Analysis, Mathematical Physics