Regularization theory for ill-posed problems: selected topics
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Bibliographische Detailangaben
Beteilige Person: Lu, Shuai (VerfasserIn)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Berlin [u.a.] de Gruyter 2013
Schriftenreihe:Inverse and ill-posed problems series 58
Schlagwörter:
Links:https://doi.org/10.1515/9783110286496
http://www.degruyter.com/doi/book/10.1515/9783110286496
http://www.degruyter.com/search?f_0=isbnissn&q_0=9783110286496&searchTitles=true
Beschreibung:Biographical note: 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
Main description: Thismonograph is a valuable contribution to thehighly topical and extremly productive field ofregularisationmethods for inverse and ill-posed problems. The author is an internationally outstanding and acceptedmathematicianin this field. In his book he offers a well-balanced mixtureof basic and innovative aspects.He demonstrates new,differentiatedviewpoints, and important examples for applications. The bookdemontrates thecurrent developments inthe field of regularization theory,such as multiparameter regularization and regularization in learning theory. The book is written for graduate and PhDstudents and researchersin mathematics, natural sciences, engeneering, and medicine
Umfang:1 Online-Ressource (PDF-Version: XIV, 289 S.)
ISBN:9783110286465
9783110286496
9783110286502
DOI:10.1515/9783110286496