Optimal Regularization for Ill-Posed Problems in Metric Spaces
نویسندگان
چکیده
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. AMS-Classification: 47A52, 65J22, 49J35, 93E25
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تاریخ انتشار 2006