Optimal parameter choice rule for filter-based regularization schemes

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Optimal parameter choice rule for filter-based regularization schemes

Year : 2024

Publisher : Elsevier Inc.

Source Title : Applied Mathematics and Computation

Document Type :

Abstract

In this article, we explore the further study of filter based schemes along with parameter choice rules and then apply to pseudo-differential operator equations and the analytic continuation problem. As we know that the stability of the regularization schemes depends on the regularization parameter and here we derive an a posteriori parameter choice rule which is best among all other parameter choice rules; and this parameter choice rule minimizes an upper bound of the approximation error ‖xα,δ−x†‖. Numerical experiments are also provided to validate the proposed theory.