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search.filters.author.George, S.
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search.filters.author.Argyros, I.K.
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search.filters.author.Padikkal, J.
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search.filters.author.Remesh, K.
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search.filters.subject.a new parameter-choice strategy
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search.filters.subject.finite dimension
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search.filters.subject.iterative method
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search.filters.subject.Lavrentiev regularization
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search.filters.subject.nonlinear ill-posed equations
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A New Parameter Choice Strategy for Lavrentiev Regularization Method for Nonlinear Ill-Posed Equations
(
MDPI
,
2022
)
George, S.
;
Padikkal, J.
;
Remesh, K.
;
Argyros, I.K.
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In 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.
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