Computational Methods for Applied Inverse Problems

Author:   Yanfei Wang ,  Anatoly G. Yagola ,  J. J. Cao ,  H. Cheng
Publisher:   De Gruyter
Volume:   56
ISBN:  

9783110259049


Pages:   550
Publication Date:   15 October 2012
Recommended Age:   College Graduate Student
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Computational Methods for Applied Inverse Problems


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Overview

Nowadays inverse problems and applications in science and engineering represent an extremely active research field. The subjects are related to mathematics, physics, geophysics, geochemistry, oceanography, geography and remote sensing, astronomy, biomedicine, and other areas of applications. This monograph reports recent advances of inversion theory and recent developments with practical applications in frontiers of sciences, especially inverse design and novel computational methods for inverse problems. The practical applications include inverse scattering, chemistry, molecular spectra data processing, quantitative remote sensing inversion, seismic imaging, oceanography, and astronomical imaging. The book serves as a reference book and readers who do research in applied mathematics, engineering, geophysics, biomedicine, image processing, remote sensing, and environmental science will benefit from the contents since the book incorporates a background of using statistical and non-statistical methods, e.g., regularization and optimization techniques for solving practical inverse problems.

Full Product Details

Author:   Yanfei Wang ,  Anatoly G. Yagola ,  J. J. Cao ,  H. Cheng
Publisher:   De Gruyter
Imprint:   De Gruyter
Volume:   56
Weight:   1.045kg
ISBN:  

9783110259049


ISBN 10:   3110259044
Pages:   550
Publication Date:   15 October 2012
Recommended Age:   College Graduate Student
Audience:   General/trade ,  General
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Yanfei Wang, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China; Anatoly G. Yagola, Lomonosov Moscow State University, Russia; Changchun Yang, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China.

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