UID:
almahu_9949462261102882
Format:
1 online resource (289 p.)
ISBN:
9783110286496
,
9783110238570
Series Statement:
Inverse and Ill-Posed Problems Series , 58
Content:
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.
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
,
Issued also in print.
,
Mode of access: Internet via World Wide Web.
,
In English.
In:
DGBA Backlist Complete English Language 2000-2014 PART1, De Gruyter, 9783110238570
In:
DGBA Backlist Mathematics 2000-2014 (EN), De Gruyter, 9783110238471
In:
DGBA Mathematics - 2000 - 2014, De Gruyter, 9783110637205
In:
E-BOOK GESAMTPAKET / COMPLETE PACKAGE 2013, De Gruyter, 9783110317350
In:
E-BOOK PACKAGE MATHEMATICS, PHYSICS, ENGINEERING 2013, De Gruyter, 9783110317282
In:
E-BOOK PAKET MATHEMATIK, PHYSIK, INGENIEURWISS. 2013, De Gruyter, 9783110317275
Additional Edition:
ISBN 9783110286465
Language:
English
DOI:
10.1515/9783110286496
URL:
https://doi.org/10.1515/9783110286496
URL:
https://www.degruyter.com/isbn/9783110286496
URL:
https://doi.org/10.1515/9783110286496
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