A New Parameter Choice Strategy for Lavrentiev Regularization Method for Nonlinear Ill-Posed Equations

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dc.contributor.authorGeorge, S.
dc.contributor.authorPadikkal, J.
dc.contributor.authorRemesh, K.
dc.contributor.authorArgyros, I.K.
dc.date.accessioned2026-02-04T12:27:44Z
dc.date.issued2022
dc.description.abstractIn this paper, we introduced a new source condition and a new parameter-choice strategy which also gives the known best error estimate. To obtain the results we used the assumptions used in earlier studies. Further, we studied the proposed new parameter-choice strategy and applied it to the method (in the finite-dimensional setting) considered in George and Nair (2017). © 2022 by the authors.
dc.identifier.citationMathematics, 2022, 10, 18, pp. -
dc.identifier.urihttps://doi.org/10.3390/math10183365
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/22415
dc.publisherMDPI
dc.subjecta new parameter-choice strategy
dc.subjectfinite dimension
dc.subjectiterative method
dc.subjectLavrentiev regularization
dc.subjectnonlinear ill-posed equations
dc.titleA New Parameter Choice Strategy for Lavrentiev Regularization Method for Nonlinear Ill-Posed Equations

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