Levenberg-Marquardt method with general convex penalty for nonlinear inverse problems
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Publication:2059620
DOI10.1016/j.cam.2021.113771zbMath1483.65083OpenAlexW3214405163MaRDI QIDQ2059620
Publication date: 14 December 2021
Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cam.2021.113771
Related Items (3)
An asymptotical regularization with convex constraints for inverse problems ⋮ 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
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