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Optimization and Regularization for Computational Inverse Problems and Applications

Editors: Wang, Yanfei, Yagola, Anatoly G., Yang, Changchun (Eds.)

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  • Relates the inversion theory and recent developments with real applications
  • Combines optimization and regularization for solving inverse problems
  • Covers frontiers on multi-disciplinary subjects areas
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eBook 117,69 €
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  • ISBN 978-3-642-13742-6
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Hardcover 150,79 €
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  • ISBN 978-3-642-13741-9
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About this book

"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. Yagola is a Professor and Assistant Dean of the Physical Faculty, Lomonosov Moscow State University, Russia. Dr. Changchun Yang is a Professor and Vice Director of the Institute of Geology and Geophysics, Chinese Academy of Sciences, China.

Table of contents (14 chapters)

Table of contents (14 chapters)

Buy this book

eBook 117,69 €
price for Spain (gross)
  • ISBN 978-3-642-13742-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 150,79 €
price for Spain (gross)
  • ISBN 978-3-642-13741-9
  • Free shipping for individuals worldwide
  • This title is currently reprinting. You can pre-order your copy now.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Rent the eBook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Optimization and Regularization for Computational Inverse Problems and Applications
Editors
  • Yanfei Wang
  • Anatoly G. Yagola
  • Changchun Yang
Copyright
2011
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
Distribution Rights
Distribution rights in China: Higher Education Press.
eBook ISBN
978-3-642-13742-6
DOI
10.1007/978-3-642-13742-6
Hardcover ISBN
978-3-642-13741-9
Edition Number
1
Number of Pages
400
Number of Illustrations
36 b/w illustrations
Additional Information
Jointly published with Higher Education Press.
Topics