Regularization Theory for Ill-posed Problems : : Selected Topics / / 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 an...

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Superior document:Title is part of eBook package: De Gruyter DGBA Backlist Complete English Language 2000-2014 PART1
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Place / Publishing House:Berlin ;, Boston : : De Gruyter, , [2013]
©2013
Year of Publication:2013
Language:English
Series:Inverse and Ill-Posed Problems Series , 58
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Physical Description:1 online resource (289 p.)
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id 9783110286496
ctrlnum (DE-B1597)176522
(OCoLC)858762149
collection bib_alma
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spelling Lu, Shuai, author. aut http://id.loc.gov/vocabulary/relators/aut
Regularization Theory for Ill-posed Problems : Selected Topics / Sergei V. Pereverzev, Shuai Lu.
Berlin ; Boston : De Gruyter, [2013]
©2013
1 online resource (289 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
text file PDF rda
Inverse and Ill-Posed Problems Series , 1381-4524 ; 58
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
restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star
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.
Issued also in print.
Mode of access: Internet via World Wide Web.
In English.
Description based on online resource; title from PDF title page (publisher's Web site, viewed 28. Feb 2023)
Numerical analysis Improperly posed problems.
Numerical differentiation.
MATHEMATICS / Applied. bisacsh
Balancing Principle.
Blood Glucose Prediction.
Convergence Rate.
Discrepancy Principle.
Error Bound Estimation.
Ill-posed Problem.
Learning Theory, Meta-learning.
Multi-parameter Regularization.
Regularization Method.
Pereverzev, Sergei V., author. aut http://id.loc.gov/vocabulary/relators/aut
Title is part of eBook package: De Gruyter DGBA Backlist Complete English Language 2000-2014 PART1 9783110238570
Title is part of eBook package: De Gruyter DGBA Backlist Mathematics 2000-2014 (EN) 9783110238471
Title is part of eBook package: De Gruyter DGBA Mathematics - 2000 - 2014 9783110637205 ZDB-23-GMA
Title is part of eBook package: De Gruyter E-BOOK GESAMTPAKET / COMPLETE PACKAGE 2013 9783110317350 ZDB-23-DGG
Title is part of eBook package: De Gruyter E-BOOK PACKAGE MATHEMATICS, PHYSICS, ENGINEERING 2013 9783110317282 ZDB-23-DMI
Title is part of eBook package: De Gruyter E-BOOK PAKET MATHEMATIK, PHYSIK, INGENIEURWISS. 2013 9783110317275 ZDB-23-DMP
print 9783110286465
https://doi.org/10.1515/9783110286496
https://www.degruyter.com/isbn/9783110286496
Cover https://www.degruyter.com/document/cover/isbn/9783110286496/original
language English
format eBook
author Lu, Shuai,
Lu, Shuai,
Pereverzev, Sergei V.,
spellingShingle Lu, Shuai,
Lu, Shuai,
Pereverzev, Sergei V.,
Regularization Theory for Ill-posed Problems : Selected Topics /
Inverse and Ill-Posed Problems Series ,
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
author_facet Lu, Shuai,
Lu, Shuai,
Pereverzev, Sergei V.,
Pereverzev, Sergei V.,
Pereverzev, Sergei V.,
author_variant s l sl
s l sl
s v p sv svp
author_role VerfasserIn
VerfasserIn
VerfasserIn
author2 Pereverzev, Sergei V.,
Pereverzev, Sergei V.,
author2_variant s v p sv svp
author2_role VerfasserIn
VerfasserIn
author_sort Lu, Shuai,
title Regularization Theory for Ill-posed Problems : Selected Topics /
title_sub Selected Topics /
title_full Regularization Theory for Ill-posed Problems : Selected Topics / Sergei V. Pereverzev, Shuai Lu.
title_fullStr Regularization Theory for Ill-posed Problems : Selected Topics / Sergei V. Pereverzev, Shuai Lu.
title_full_unstemmed Regularization Theory for Ill-posed Problems : Selected Topics / Sergei V. Pereverzev, Shuai Lu.
title_auth Regularization Theory for Ill-posed Problems : Selected Topics /
title_alt 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
title_new Regularization Theory for Ill-posed Problems :
title_sort regularization theory for ill-posed problems : selected topics /
series Inverse and Ill-Posed Problems Series ,
series2 Inverse and Ill-Posed Problems Series ,
publisher De Gruyter,
publishDate 2013
physical 1 online resource (289 p.)
Issued also in print.
contents 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
isbn 9783110286496
9783110238570
9783110238471
9783110637205
9783110317350
9783110317282
9783110317275
9783110286465
issn 1381-4524 ;
callnumber-first Q - Science
callnumber-subject QA - Mathematics
callnumber-label QA355
callnumber-sort QA 3355 L78 42013EB
url https://doi.org/10.1515/9783110286496
https://www.degruyter.com/isbn/9783110286496
https://www.degruyter.com/document/cover/isbn/9783110286496/original
illustrated Not Illustrated
dewey-hundreds 500 - Science
dewey-tens 510 - Mathematics
dewey-ones 518 - Numerical analysis
dewey-full 518.53
dewey-sort 3518 253
dewey-raw 518 .53
dewey-search 518 .53
doi_str_mv 10.1515/9783110286496
oclc_num 858762149
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Title is part of eBook package: De Gruyter E-BOOK PACKAGE MATHEMATICS, PHYSICS, ENGINEERING 2013
Title is part of eBook package: De Gruyter E-BOOK PAKET MATHEMATIK, PHYSIK, INGENIEURWISS. 2013
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