Multi-penalty regularization with a component-wise penalization

DOI10.1088/0266-5611/29/7/075002zbMath1279.65072OpenAlexW2037768939MaRDI QIDQ2861870

Sergei V. Pereverzyev, Valeriya Naumova

Publication date: 11 November 2013

Published in: Inverse Problems (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/2f71dad3da4247762ef4d534317ec46797db0f70

zbMATH Keywords

convergenceregularizationHilbert spaceheuristic approachlinear ill-posed operator equationmulti-penalty functional

Mathematics Subject Classification ID

Numerical solutions to equations with linear operators (65J10) Numerical solutions of ill-posed problems in abstract spaces; regularization (65J20) Linear operators and ill-posed problems, regularization (47A52)

Related Items (8)

Regularization graphs—a unified framework for variational regularization of inverse problems ⋮ Multi-penalty regularization in learning theory ⋮ Coupled regularization with multiple data discrepancies ⋮ Multi-task learning via linear functional strategy ⋮ Estimates on learning rates for multi-penalty distribution regression ⋮ Anisotropic \(\mathrm{BV}-L^{2}\) regularization of linear inverse ill-posed problems ⋮ Convergence analysis of distributed multi-penalty regularized pairwise learning ⋮ Simultaneous identification of volatility and interest rate functions -- a two-parameter regularization approach

Uses Software

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