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Variational Regularization for Systems of Inverse Problems
Variational Regularization for Systems of Inverse Problems
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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.
  • Leidėjas:
  • Metai: 2019
  • Puslapiai: 131
  • ISBN-10: 3658253894
  • ISBN-13: 9783658253899
  • Formatas: 14.8 x 21 x 0.8 cm, minkšti viršeliai
  • Kalba: Anglų

Variational Regularization for Systems of Inverse Problems (el. knyga) (skaityta knyga) | knygos.lt

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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.


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  • Autorius: Richard Huber
  • Leidėjas:
  • Metai: 2019
  • Puslapiai: 131
  • ISBN-10: 3658253894
  • ISBN-13: 9783658253899
  • Formatas: 14.8 x 21 x 0.8 cm, minkšti viršeliai
  • Kalba: Anglų

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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