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Titlebook: Variational Regularization for Systems of Inverse Problems; Tikhonov Regularizat Richard Huber Book 2019 The Editor(s) (if applicable) and

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書(shū)目名稱(chēng)Variational Regularization for Systems of Inverse Problems
副標(biāo)題Tikhonov Regularizat
編輯Richard Huber
視頻videohttp://file.papertrans.cn/981/980616/980616.mp4
概述Rigorous analysis of systems of inverse problems
叢書(shū)名稱(chēng)BestMasters
圖書(shū)封面Titlebook: Variational Regularization for Systems of Inverse Problems; Tikhonov Regularizat Richard Huber Book 2019 The Editor(s) (if applicable) and
描述Tikhonov regularization is a cornerstone technique in solving inverse problems with applications in countless scienti?c ?elds. Richard Huber discusses a multi-parameter Tikhonov approach for systems of inverse problems in order to take advantage of their speci?c structure. Such an approach allows to choose the regularization weights of each subproblem individually with respect to the corresponding noise levels and degrees of ill-posedness..
出版日期Book 2019
關(guān)鍵詞Applied Mathematics; Mathematical Image Processing; Radon Transform; Tomography Reconstruction; Total Ge
版次1
doihttps://doi.org/10.1007/978-3-658-25390-5
isbn_softcover978-3-658-25389-9
isbn_ebook978-3-658-25390-5Series ISSN 2625-3577 Series E-ISSN 2625-3615
issn_series 2625-3577
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Fachmedien Wies
The information of publication is updating

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General Tikhonov Regularisation,lassical regularisation approach to illposed inverse problems, that features optimisation problems balancing the discrepancy in the data with costs generated by a function penalising undesired properties. First we consider the well-known single-data approach.
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Variational Regularization for Systems of Inverse Problems978-3-658-25390-5Series ISSN 2625-3577 Series E-ISSN 2625-3615
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https://doi.org/10.1007/978-3-658-25390-5Applied Mathematics; Mathematical Image Processing; Radon Transform; Tomography Reconstruction; Total Ge
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