An accelerated inexact Newton regularization scheme with a learned feature-selection rule for non-linear inverse problems
DOI10.1088/1361-6420/ad5e19zbMath1544.65095MaRDI QIDQ6581199
Ye Zhang, Haie Long, Guangyu Gao
Publication date: 30 July 2024
Published in: Inverse Problems (Search for Journal in Brave)
non-uniquenessill-posed inverse problemsinexact Newtonuniformly convex neural networkstwo-point gradientnon-stationary iterated Tikhonov regularization
Artificial neural networks and deep learning (68T07) Convex programming (90C25) Numerical optimization and variational techniques (65K10) 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)
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