Iterative regularization methods for ill-posed operator equations in Hilbert scales
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Date
2017
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Cambridge Scientific Publishers jonathan.mckenna@touchbriefings.com
Abstract
In this paper we report on a method for regularizing a nonlinear ill-posed operator equation in Hilbert scales. The proposed method is a combination of Lavrentiev regularization method and a Modified Newton's method in Hilbert scales . Under the assumptions that the operator F is continu- ously differentiable with a Lipschitz-continuous first derivative and that the solution of (1.1) fulfils a general source condition, we give an optimal order convergence rate result with respect to the general source function. © CSP - Cambridge, UK; I & S - Florida, USA, 2017.
Description
Keywords
Adaptive choice, Hilbert scales, Iterative regularization, Nonlinear ill-posed equations
Citation
Nonlinear Studies, 2017, 24, 2, pp. 257-271
