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Variational Regularization for Systems of Inverse Problems by Richard Huber
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Variational Regularization for Systems of Inverse Problems

Tikhonov Regularization with Multiple Forward Operators
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Description

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.

Author Biography:

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.
Release date NZ
February 27th, 2019
Author
Audience
  • Professional & Vocational
Edition
1st ed. 2019
Illustrations
1 Illustrations, black and white; IX, 136 p. 1 illus.
Pages
136
ISBN-13
9783658253899
Product ID
29077320

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