Minimization of the Tikhonov functional in Banach spaces smooth and convex of power type by steepest descent in the dual

DOI10.1007/s10589-009-9257-2zbMath1237.90182OpenAlexW2009529378MaRDI QIDQ535301

Kamil S. Kazimierski

Publication date: 11 May 2011

Published in: Computational Optimization and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10589-009-9257-2

zbMATH Keywords

convex optimizationconvergence ratelinear convergencesparsityconvex of power typesmooth of power type

Mathematics Subject Classification ID

Convex programming (90C25)

Related Items (2)

Gradient descent technology for sparse vector learning in ontology algorithms ⋮ The learning rates of regularized regression based on reproducing kernel Banach spaces

Cites Work

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• A convergence rates result for Tikhonov regularization in Banach spaces with non-smooth operators
• Error estimates for non-quadratic regularization and the relation to enhancement
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