UID:
almafu_9958353901602883
Format:
1 online resource(xiv,289p.) :
,
illustrations.
Edition:
Electronic reproduction. Berlin/Boston : De Gruyter. Mode of access: World Wide Web.
Edition:
System requirements: Web browser.
Edition:
Access may be restricted to users at subscribing institutions.
ISBN:
9783110286496
Series Statement:
Inverse and Ill-Posed Problems Series; 58
Content:
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.
Note:
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.
,
Also available in print edition.
,
In English.
Additional Edition:
ISBN 9783110286465
Additional Edition:
ISBN 9783110286502
Language:
English
Keywords:
Electronic books
DOI:
10.1515/9783110286496
URL:
https://doi.org/10.1515/9783110286496
URL:
Volltext
(lizenzpflichtig)
URL:
https://doi.org/10.1515/9783110286496
URL:
https://www.degruyter.com/isbn/9783110286496
