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Variational Regularization for Systems of Inverse Problems: Tikhonov Regularization with Multiple Forward Operators (BestMasters) - Softcover

 
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Synopsis

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.


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From the Back Cover

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.

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.

About 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.

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  • PublisherSpringer Spektrum
  • Publication date2019
  • ISBN 10 3658253894
  • ISBN 13 9783658253899
  • BindingPaperback
  • LanguageEnglish
  • Edition number1
  • Number of pages145

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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 148 pp. Englisch. Seller Inventory # 9783658253899

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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9783658253899

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