| 书目名称 | Variational Regularization for Systems of Inverse Problems |
| 副标题 | Tikhonov Regularizat |
| 编辑 | Richard Huber |
| 视频video | |
| 概述 | Rigorous analysis of systems of inverse problems |
| 丛书名称 | BestMasters |
| 图书封面 |  |
| 描述 | Tikhonov regularization is a cornerstone technique in solving inverse problems with applications in countless scientific fields. Richard Huber discusses a multi-parameter Tikhonov approach for systems of inverse problems in order to take advantage of their specific 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 |
| 关键词 | Applied Mathematics; Mathematical Image Processing; Radon Transform; Tomography Reconstruction; Total Ge |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-658-25390-5 |
| isbn_softcover | 978-3-658-25389-9 |
| isbn_ebook | 978-3-658-25390-5Series ISSN 2625-3577 Series E-ISSN 2625-3615 |
| issn_series | 2625-3577 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Fachmedien Wies |
发表于 2025-3-21 16:33:57
