BestMasters / Variational Regularization for Systems of Inverse Problems
Tikhonov Regularization with Multiple Forward Operators
(Sprache: Englisch)
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...
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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.Inhaltsverzeichnis zu „BestMasters / Variational Regularization for Systems of Inverse Problems “
General Tikhonov Regularization.- Specific Discrepancies.- Regularization Functionals.- Application to STEM Tomography Reconstruction.
Autoren-Porträt von Richard Huber
Richard Huber wrote his master's thesis under the supervision of Prof. Dr. Kristian Bredies at the Institute for Mathematics and Scientific Computing at Graz University, Austria.
Bibliographische Angaben
- Autor: Richard Huber
- 2019, IX, 136 Seiten, Masse: 14,8 x 21 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3658253894
- ISBN-13: 9783658253899
- Erscheinungsdatum: 29.03.2019
Sprache:
Englisch
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