Optimal Convergence Rates Results for Linear Inverse Problems in Hilbert Spaces
نویسندگان
چکیده
In this article, we prove optimal convergence rates results for regularization methods for solving linear ill-posed operator equations in Hilbert spaces. The results generalizes existing convergence rates results on optimality to general source conditions, such as logarithmic source conditions. Moreover, we also provide optimality results under variational source conditions and show the connection to approximative source conditions.
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عنوان ژورنال:
دوره 37 شماره
صفحات -
تاریخ انتشار 2016