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Lingling Du, Jing Li & Jinping Wang. (2017) The analysis study on nonlinear iterative methods for inverse problems. Applicable Analysis 96:6, pages 925-935.
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Andreas Neubauer, Torsten Hein, Bernd Hofmann, Stefan Kindermann & Ulrich Tautenhahn. (2010) Improved and extended results for enhanced convergence rates of Tikhonov regularization in Banach spaces. Applicable Analysis 89:11, pages 1729-1743.
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Torsten Hein & KamilS. Kazimierski. (2010) Modified Landweber Iteration in Banach Spaces—Convergence and Convergence Rates. Numerical Functional Analysis and Optimization 31:10, pages 1158-1184.
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Articles from other publishers (4)
S. Pourmohammad Azizi, Hossein Jafari, Yaser Faghan & Abdolsadeh Neisy. (2022) Inverse Problem Approach to Machine Learning with Application in the Option Price Correction. Optical Memory and Neural Networks 31:1, pages 46-58.
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Kristian Bredies & Mariya Zhariy. (2013) A discrepancy-based parameter adaptation and stopping rule for minimization algorithms aiming at Tikhonov-type regularization. Inverse Problems 29:2, pages 025008.
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A. M. Stuart. (2010) Inverse problems: A Bayesian perspective. Acta Numerica 19, pages 451-559.
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S L Cotter, M Dashti, J C Robinson & A M Stuart. (2009) Bayesian inverse problems for functions and applications to fluid mechanics. Inverse Problems 25:11, pages 115008.
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