Parameter Choice Strategy That Computes Regularization Parameter before Computing the Regularized Solution

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dc.contributor.authorGeorge, S.
dc.contributor.authorPadikkal, J.
dc.contributor.authorKunnarath, A.
dc.contributor.authorArgyros, I.K.
dc.contributor.authorRegmi, S.
dc.date.accessioned2026-02-04T12:24:38Z
dc.date.issued2024
dc.description.abstractThe modeling of many problems of practical interest leads to nonlinear ill-posed equations (for example, the parameter identification problem (see the Numerical section)). In this article, we introduce a new source condition (SC) and a new parameter choice strategy (PCS) for the Tikhonov regularization (TR) method for nonlinear ill-posed problems. The new PCS is introduced using a new SC to compute the regularization parameter (RP) before computing the regularized solution. The theoretical results are verified using a numerical example. © 2024 by the authors.
dc.identifier.citationModelling, 2024, 5, 2, pp. 530-548
dc.identifier.urihttps://doi.org/10.3390/modelling5020028
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/21070
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)
dc.subjectill-posed problems
dc.subjectparameter choice strategy
dc.subjectsource condition
dc.subjectTikhonov regularization method
dc.titleParameter Choice Strategy That Computes Regularization Parameter before Computing the Regularized Solution

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