Regularization theory for ill-posed problems: selected topics

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 innov...

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Detalles Bibliográficos
Autores principales: Lu, Shuai, Pereverzev, Sergei V
Lenguaje:eng
Publicado: De Gruyter 2013
Materias:
Mathematical Physics and Mathematics
Acceso en línea:http://cds.cern.ch/record/1619978
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author Lu, Shuai
Pereverzev, Sergei V
author_facet Lu, Shuai
Pereverzev, Sergei V
author_sort Lu, Shuai
collection CERN
description 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 PhDs
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2013
publisher De Gruyter
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spelling cern-16199782021-04-21T21:54:03Zhttp://cds.cern.ch/record/1619978engLu, ShuaiPereverzev, Sergei VRegularization theory for ill-posed problems: selected topicsMathematical Physics and Mathematics 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 PhDsDe Gruyteroai:cds.cern.ch:16199782013
spellingShingle Mathematical Physics and Mathematics
Lu, Shuai
Pereverzev, Sergei V
Regularization theory for ill-posed problems: selected topics
title Regularization theory for ill-posed problems: selected topics
title_full Regularization theory for ill-posed problems: selected topics
title_fullStr Regularization theory for ill-posed problems: selected topics
title_full_unstemmed Regularization theory for ill-posed problems: selected topics
title_short Regularization theory for ill-posed problems: selected topics
title_sort regularization theory for ill-posed problems: selected topics
topic Mathematical Physics and Mathematics
url http://cds.cern.ch/record/1619978
work_keys_str_mv AT lushuai regularizationtheoryforillposedproblemsselectedtopics
AT pereverzevsergeiv regularizationtheoryforillposedproblemsselectedtopics

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