This monograph is a valuable contribution to the highly topical and extremely 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 demonstrates the current developments in the field of regularization theory, such as multi parameter regularization and regularization in learning theory. The book is written for graduate and Phd students and researchers in mathematics, natural sciences, engineering, and medicine.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 PhD students and researchers in mathematics, natural sciences, engeneering, and medicine. 304 pp. Englisch. N° de réf. du vendeur 9783110286465
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Hardcover. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Shuai Lu, Fudan Unive. N° de réf. du vendeur 4456782
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Buch. Etat : Neu. Regularization Theory for Ill-posed Problems | Selected Topics | Sergei V. Pereverzev (u. a.) | Buch | ISSN | XIV | Englisch | 2013 | De Gruyter | EAN 9783110286465 | Verantwortliche Person für die EU: Walter de Gruyter GmbH, De Gruyter GmbH, Genthiner Str. 13, 10785 Berlin, productsafety[at]degruyterbrill[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 105151967
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 PhD students and researchers in mathematics, natural sciences, engeneering, and medicine. N° de réf. du vendeur 9783110286465
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