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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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 |
work_keys_str_mv |
AT lushuai regularizationtheoryforillposedproblemsselectedtopics AT pereverzevsergeiv regularizationtheoryforillposedproblemsselectedtopics |
status_str |
n |
ids_txt_mv |
(DE-B1597)176522 (OCoLC)858762149 |
carrierType_str_mv |
cr |
hierarchy_parent_title |
Title is part of eBook package: De Gruyter DGBA Backlist Complete English Language 2000-2014 PART1 Title is part of eBook package: De Gruyter DGBA Backlist Mathematics 2000-2014 (EN) Title is part of eBook package: De Gruyter DGBA Mathematics - 2000 - 2014 Title is part of eBook package: De Gruyter E-BOOK GESAMTPAKET / COMPLETE PACKAGE 2013 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 |
is_hierarchy_title |
Regularization Theory for Ill-posed Problems : Selected Topics / |
container_title |
Title is part of eBook package: De Gruyter DGBA Backlist Complete English Language 2000-2014 PART1 |
author2_original_writing_str_mv |
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