Discrepancy principles for fractional Tikhonov regularization method leading to optimal convergence rates

Simple item page
dc.contributor.authorKanagaraj, K.
dc.contributor.authorReddy, G.D.
dc.contributor.authorGeorge, S.
dc.date.accessioned2026-02-05T09:28:36Z
dc.date.issued2020
dc.description.abstractFractional Tikhonov regularization (FTR) method was studied in the last few years for approximately solving ill-posed problems. In this study we consider the Schock-type discrepancy principle for choosing the regularization parameter in FTR and obtained the order optimal convergence rate. Numerical examples are provided in this study. © 2019, Korean Society for Informatics and Computational Applied Mathematics.
dc.identifier.citationJournal of Applied Mathematics and Computing, 2020, 63, 46054, pp. 87-105
dc.identifier.issn15985865
dc.identifier.urihttps://doi.org/10.1007/s12190-019-01309-3
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/23889
dc.publisherSpringer
dc.subjectComputational methods
dc.subjectMathematical techniques
dc.subjectConvergence rates
dc.subjectDiscrepancy principle
dc.subjectIll-posed equations
dc.subjectRegularization parameters
dc.subjectTikhonov regularization method
dc.subjectParameterization
dc.titleDiscrepancy principles for fractional Tikhonov regularization method leading to optimal convergence rates

Files

Collections

Journal Articles