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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© 2019 Springer Fachmedien Wiesbaden GmbH, part of Springer Nature
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Huber, R. (2019). General Tikhonov Regularisation. In: Variational Regularization for Systems of Inverse Problems. BestMasters. Springer Spektrum, Wiesbaden. https://doi.org/10.1007/978-3-658-25390-5_2
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DOI: https://doi.org/10.1007/978-3-658-25390-5_2
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Publisher Name: Springer Spektrum, Wiesbaden
Print ISBN: 978-3-658-25389-9
Online ISBN: 978-3-658-25390-5
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