A modified discrepancy principle to attain optimal convergence rates under unknown noise
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Publication:5006372
DOI10.1088/1361-6420/ac1775zbMath1472.62066arXiv2103.03545OpenAlexW3189311248MaRDI QIDQ5006372
Publication date: 13 August 2021
Published in: Inverse Problems (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2103.03545
Asymptotic properties of nonparametric inference (62G20) Numerical solution to inverse problems in abstract spaces (65J22)
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Noise Level Free Regularization of General Linear Inverse Problems under Unconstrained White Noise ⋮ Dual gradient method for ill-posed problems using multiple repeated measurement data
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