Variational Regularization for Systems of Inverse Problems
Tikhonov Regularization with Multiple Forward Operators
1st Edition
Published on 14. February 2019
IX, 136 pages
978-3-658-25390-5 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
Wiesbaden
Germany
Publishing group
Springer Fachmedien Wiesbaden GmbH
Target group
Professional and scholarly
Illustrations
IX, 136 p. 1 illus.
File size
5,48 MB
ISBN-13
978-3-658-25390-5 (9783658253905)
DOI
10.1007/978-3-658-25390-5
Schweitzer Classification
Other editions
Additional editions
Richard Huber
Variational Regularization for Systems of Inverse Problems
Tikhonov Regularization with Multiple Forward Operators
Book
02/2019
Springer Spektrum
€53.49
Shipment within 10-15 days
Person
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.
Content
General Tikhonov Regularization.- Specific Discrepancies.- Regularization Functionals.- Application to STEM Tomography Reconstruction.
