Optimal regularization for ill-posed problems in metric spaces

被引：0

作者：

Institute for Mathematical Stochastics, University of Göttingen, Maschmühlenweg 8-10, 37073 Göttingen, Germany ^{[1
]}

机构：

[1] Institute for Mathematical Stochastics, University of Göttingen, 37073 Göttingen

来源：

J Inverse Ill Posed Probl | 2007年 / 2卷 / 137-148期

关键词：

Lepskij-type balancing principle; Regularization in normed spaces;

D O I：

10.1515/JIIP.2007.007

中图分类号：

学科分类号：

摘要：

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. © de Gruyter 2007.

引用

页码：137 / 148

页数：11

共 18 条

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