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F. Bauer, A. Munk

Optimal regularization for ill-posed problems in metric spaces

Keywords: Regularization in normed spaces, Lepskij-type balancing principle, -spaces

We present a strategy for choosing the regularization parameter (Lepskij-type balancing principle) for ill-posed problems in metric spaces with deterministic or stochastic noise. Additionally we improve the strategy in comparison to the previously used version for Hilbert spaces in some ways.

Journal of Inverse and Ill-posed Problems, Walter de Gruyter

Print ISSN: 0928-0219
Volume: 15, 05/2007
Pages: 137 - 148

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