This monograph is a valuable contribution to the highly topical and extremly productive field of regularisation methods for inverse and ill-posed problems. The author is an internationally outstanding and accepted mathematician in this field. In his book he offers a well-balanced mixture of basic and innovative aspects. He demonstrates new, differentiated viewpoints, and important examples for applications. The book demontrates the current developments in the field of regularization theory, such as multiparameter regularization and regularization in learning theory.
The book is written for graduate and Ph D students and researchers in mathematics, natural sciences, engeneering, and medicine.
€179.95
About the author
Shuai Lu, Fudan University, Shanghai, PR China; Sergei V. Pereverzev, Johann Radon Institute for Computational and Applied Mathematics (RICAM), Austrian Academy of Sciences, Linz, Austria.
Language English ● Format PDF ● Pages 303 ● ISBN 9783110286496 ● File size 2.8 MB ● Publisher De Gruyter ● City Berlin/Boston ● Published 2013 ● Edition 1 ● Downloadable 24 months ● Currency EUR ● ID 6293637 ● Copy protection Adobe DRM
Requires a DRM capable ebook reader
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