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General Tikhonov Regularisation

  • Richard HuberEmail author
Chapter
Part of the BestMasters book series (BEST)

Abstract

In this part we consider Tikhonov regularisation approaches to inverse problems with general discrepancies and regularisation functionals. This is a classical regularisation approach to illposed inverse problems, that features optimisation problems balancing the discrepancy in the data with costs generated by a function penalising undesired properties. First we consider the well-known single-data approach.

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Copyright information

© Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2019

Authors and Affiliations

  1. 1.GrazAustria

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