| 书目名称 | Optimization and Regularization for Computational Inverse Problems and Applications | | 编辑 | Yanfei Wang,Changchun Yang,Anatoly G. Yagola | | 视频video | | | 概述 | First book relating the inversion theory and recent developments with real applications.Combines optimization and regularization for solving inverse problems.Covers frontiers on multi-disciplinary sub | | 图书封面 |  | | 描述 | "Optimization and Regularization for Computational Inverse Problems and Applications" focuses on advances in inversion theory and recent developments with practical applications, particularly emphasizing the combination of optimization and regularization for solving inverse problems. This book covers both the methods, including standard regularization theory, Fejer processes for linear and nonlinear problems, the balancing principle, extrapolated regularization, nonstandard regularization, nonlinear gradient method, the nonmonotone gradient method, subspace method and Lie group method; and the practical applications, such as the reconstruction problem for inverse scattering, molecular spectra data processing, quantitative remote sensing inversion, seismic inversion using the Lie group method, and the gravitational lensing problem.Scientists, researchers and engineers, as well as graduate students engaged in applied mathematics, engineering, geophysics, medical science, image processing, remote sensing and atmospheric science will benefit from this book.Dr. Yanfei Wang is a Professor at the Institute of Geology and Geophysics, Chinese Academy of Sciences, China.Dr. Sc. Anatoly G. Ya | | 出版日期 | Book 2011 | | 关键词 | Geosciences; HEP; Inverse Problems; Numerical Inversion; Optimization; Regularization Theory; Signal/Image | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-13742-6 | | isbn_ebook | 978-3-642-13742-6 | | copyright | Springer-Verlag Berlin Heidelberg 2011 |
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发表于 2025-3-21 17:48:23
