Variational Regularization for Systems of Inverse Problems / BestMasters (PDF)
Tikhonov Regularization with Multiple Forward Operators
(Sprache: Englisch)
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...
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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.
Contents
- General Tikhonov Regularization
- Specific Discrepancies
- Regularization Functionals
- Application to STEM Tomography Reconstruction
Target Groups
- Researchers and students in the field of mathematics
- Experts in the areas of mathematics, imaging, computer vision and nanotechnology
The Author
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.
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, 1st ed. 2019, 136 Seiten, Englisch
- Verlag: Gabler, Betriebswirt.-Vlg
- ISBN-10: 3658253908
- ISBN-13: 9783658253905
- Erscheinungsdatum: 14.02.2019
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 5.23 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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