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Towards using coderivatives for convergence rates in regularization - MaRDI portal

Towards using coderivatives for convergence rates in regularization (Q2906493)

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scientific article; zbMATH DE number 6077536
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Towards using coderivatives for convergence rates in regularization
scientific article; zbMATH DE number 6077536

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    5 September 2012
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    nonlinear ill-posed problem
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    source condition
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    Tikhonov regularization
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    convergence estimates
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    nonsmooth functional
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    Towards using coderivatives for convergence rates in regularization (English)
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    The paper is concerned with the ill-posed problem \(J(u)\to \min\) subject to \(F(u)=y\), where \(y\) is given by its \(\delta\)-approximation \(y^{\delta}\), \(J\) is a nondifferentiable convex functional, and \(F:X \to Y\) a nonsmooth operator between Banach spaces \(X\) and \(Y\). The aim of this paper is to draw attention to coderivatives of \(F\) as potential substitutes for \(F^{\prime *}(u^*)\) when dealing with convergence estimates of the Tikhonov regularization method. Several open problems are pointed out.NEWLINENEWLINEFor the entire collection see [Zbl 1241.00017].
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