Selected Topics of the Regularization Theory

Author:

Pereverzyev Sergei

Publisher

Springer International Publishing

Reference20 articles.

1. S. Lu, S.V. Pereverzev, Regularization Theory for Ill-Posed Problems (De Gruyter, 2013). https://doi.org/doi:10.1515/9783110286496

2. K. Fukumizu, L. Song, A. Gretton, Kernel Bayes’ Rule: Bayesian inference with positive definite kernels. J. Mach. Learn. Res. 14, 3753–3783 (2013)

3. P. Mathé, B. Hofmann, How general are general source conditions? Inverse Problems 24, 015009 (2008). https://doi.org/10.1088/0266-5611/24/1/015009

4. A.B. Bakushinskii, A general method of constructing regularizing algorithms for a linear incorrect equation in hilbert space. Zhurnal Vychislitel’noi Matematiki i Matematicheskoi Fiziki 7(3), 672–677 (1967)

5. P. Mathe, S.V. Pereverzev, Moduli of continuity for operator valued functions. Numer. Funct. Anal. Optim. 23(5-6), 623–631 (2002). https://doi.org/10.1081/NFA-120014755

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