A relaxed iterated Tikhonov regularization for linear ill-posed inverse problems

Weike Chang; N. d’Ascenzo; Qingguo Xie

doi:10.1016/j.jmaa.2023.127754

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A relaxed iterated Tikhonov regularization for linear ill-posed inverse problems

Weike Chang N. d’Ascenzo Qingguo Xie

Year: 2023 Journal: Journal of Mathematical Analysis and Applications Vol: 530 (2)Pages: 127754-127754 Publisher: Elsevier BV

DOI: 10.1016/j.jmaa.2023.127754

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Keywords:

Tikhonov regularization Regularization (linguistics) Iterated function Mathematics Backus–Gilbert method Regularization perspectives on support vector machines Inverse problem Applied mathematics Rate of convergence Mathematical optimization Iterative method Algorithm Mathematical analysis Computer science Artificial intelligence

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Numerical methods in inverse problems

Physical Sciences → Mathematics → Mathematical Physics

Sparse and Compressive Sensing Techniques

Physical Sciences → Engineering → Computational Mechanics

Photoacoustic and Ultrasonic Imaging

Physical Sciences → Engineering → Biomedical Engineering

A relaxed iterated Tikhonov regularization for linear ill-posed inverse problems

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