Format:
1 Online-Ressource (XIV, 287 Seiten)
,
Diagramme
ISBN:
9783110286496
Series Statement:
Inverse and Ill-Posed Problems Series 58
Content:
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.
Content:
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.
Additional Edition:
ISBN 9783110286502
Additional Edition:
ISBN 9783110286465
Additional Edition:
Erscheint auch als Druck-Ausgabe Lu, Shuai, 1979 - Regularization theory for ill-posed problems Berlin [u.a.] : De Gruyter, 2013 ISBN 3110286467
Additional Edition:
ISBN 9783110286465
Language:
English
Keywords:
Inverses Problem
;
Inkorrekt gestelltes Problem
;
Regularisierungsverfahren
;
Electronic books
DOI:
10.1515/9783110286496
URL:
Volltext
(lizenzpflichtig)
Author information:
Lu, Shuai 1979-
