Iterative regularization methods for ill-posed operator equations in Hilbert scales

dc.contributor.authorArgyros, I.K.
dc.contributor.authorGeorge, S.
dc.contributor.authorPadikkal, P.
dc.date.accessioned2026-02-05T09:32:39Z
dc.date.issued2017
dc.description.abstractIn 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.
dc.identifier.citationNonlinear Studies, 2017, 24, 2, pp. 257-271
dc.identifier.issn13598678
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/25780
dc.publisherCambridge Scientific Publishers jonathan.mckenna@touchbriefings.com
dc.subjectAdaptive choice
dc.subjectHilbert scales
dc.subjectIterative regularization
dc.subjectNonlinear ill-posed equations
dc.titleIterative regularization methods for ill-posed operator equations in Hilbert scales

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