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＜電子ブック＞
Numerical Methods for Inverse Scattering Problems / by Jingzhi Li, Hongyu Liu

版	1st ed. 2023.
出版者	(Singapore : Springer Nature Singapore : Imprint: Springer)
出版年	2023
本文言語	英語
大きさ	XIII, 364 p. 143 illus., 140 illus. in color : online resource
著者標目	*Li, Jingzhi author Liu, Hongyu author SpringerLink (Online service)
件　名	LCSH:Mathematical physics LCSH:Acoustics LCSH:Electrodynamics LCSH:Continuum mechanics LCSH:Crystallography FREE:Mathematical Methods in Physics FREE:Mathematical Physics FREE:Acoustics FREE:Classical Electrodynamics FREE:Continuum Mechanics FREE:Crystallography and Scattering Methods
一般注記	Introduction -- Direct Acoustic Scattering Problems -- Numerical Inverse Acoustic Scattering Problems -- Direct Electromagnetic Scattering Problems -- Numerical Inverse Electromagnetic Scattering Problems -- Direct Elastic Scattering Problems -- Numerical Inverse Elastic Scattering Problems -- Miscellaneous topics -- Others This book highlights the latest developments on the numerical methods for inverse scattering problems associated with acoustic, electromagnetic, and elastic waves. Inverse scattering problems are concerned with identifying unknown or inaccessible objects by wave probing data, which makes possible many industrial and engineering applications including radar and sonar, medical imaging, nondestructive testing, remote sensing, and geophysical exploration. The mathematical study of inverse scattering problems is an active field of research. This book presents a comprehensive and unified mathematical treatment of various inverse scattering problems mainly from a numerical reconstruction perspective. It highlights the collaborative research outputs by the two groups of the authors yet surveys and reviews many existing results by global researchers in the literature. The book consists of three parts respectively corresponding to the studies on acoustic, electromagnetic, and elastic scatteringproblems. In each part, the authors start with in-depth theoretical and computational treatments of the forward scattering problems and then discuss various numerical reconstruction schemes for the associated inverse scattering problems in different scenarios of practical interest. In addition, the authors provide an overview of the existing results in the literature by other researchers. This book can serve as a handy reference for researchers or practitioners who are working on or implementing inverse scattering methods. It can also serve as a graduate textbook for research students who are interested in working on numerical algorithms for inverse scattering problems HTTP:URL=https://doi.org/10.1007/978-981-99-3772-1

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