Regularization Theory for Ill-posed Problems : : Selected Topics / / Sergei V. Pereverzev, Shuai Lu.

• Superior document: Title is part of eBook package: De Gruyter DGBA Backlist Complete English Language 2000-2014 PART1
• VerfasserIn: Lu, Shuai,; Pereverzev, Sergei V.,
• Place / Publishing House: Berlin ;, Boston : : De Gruyter, , [2013]; ©2013
• Year of Publication: 2013
• Language: English
• Series: Inverse and Ill-Posed Problems Series , 58
• Physical Description: 1 online resource (289 p.)
• Other title: Frontmatter --; Preface --; Contents --; Chapter 1. An introduction using classical examples --; Chapter 2. Basics of single parameter regularization schemes --; Chapter 3. Multiparameter regularization --; Chapter 4. Regularization algorithms in learning theory --; Chapter 5. Meta-learning approach to regularization – case study: blood glucose prediction --; Bibliography --; Index
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9783110286496; 9783110238570; 9783110238471; 9783110637205; 9783110317350; 9783110317282; 9783110317275
• ISSN: 1381-4524
• DOI: 10.1515/9783110286496
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: Sergei V. Pereverzev, Shuai Lu.

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.