A Data-Driven Iteratively Regularized Landweber Iteration
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Publication:5119504
DOI10.1080/01630563.2020.1740734OpenAlexW3104420009MaRDI QIDQ5119504
Sebastian Banert, Ozan Öktem, A. Aspri, Otmar Scherzer
Publication date: 28 August 2020
Published in: Numerical Functional Analysis and Optimization (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1812.00272
Numerical solutions to equations with linear operators (65J10) Numerical solutions to equations with nonlinear operators (65J15) Numerical solutions of ill-posed problems in abstract spaces; regularization (65J20) Numerical solution to inverse problems in abstract spaces (65J22)
Related Items (4)
A data-driven Kaczmarz iterative regularization method with non-smooth constraints for ill-posed problems ⋮ A Fast Data-Driven Iteratively Regularized Method with Convex Penalty for Solving Ill-Posed Problems ⋮ Data driven regularization by projection ⋮ Solving inverse problems using data-driven models
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