General Tikhonov Regularisation

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


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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