Modified Minimal Error Method for Nonlinear Ill-Posed Problems

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dc.contributor.authorSabari, M.
dc.contributor.authorGeorge, S.
dc.date.accessioned2026-02-05T09:31:29Z
dc.date.issued2018
dc.description.abstractAn error estimate for the minimal error method for nonlinear ill-posed problems under general a Hölder-type source condition is not known. We consider a modified minimal error method for nonlinear ill-posed problems. Using a Hölder-type source condition, we obtain an optimal order error estimate. We also consider the modified minimal error method with noisy data and provide an error estimate. © 2018 Walter de Gruyter GmbH, Berlin/Boston.
dc.identifier.citationComputational Methods in Applied Mathematics, 2018, 18, 2, pp. 313-321
dc.identifier.issn16094840
dc.identifier.urihttps://doi.org/10.1515/cmam-2017-0024
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/25202
dc.publisherWalter de Gruyter GmbH cmam@cmam.info
dc.subjectEuler equations
dc.subjectDiscrepancy principle
dc.subjectError estimates
dc.subjectMinimal errors
dc.subjectNoisy data
dc.subjectNonlinear ill-posed problems
dc.subjectOptimal order error estimates
dc.subjectRegularization methods
dc.subjectSource conditions
dc.subjectErrors
dc.titleModified Minimal Error Method for Nonlinear Ill-Posed Problems

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