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Fedotov Anatolii Mikhailovich

Publications in Math-Net.Ru

  1. On the Approach to the Thematic Classification of Documents

    Novosibirsk State University Journal of Information Technologies, 15:1 (2017),  79–88
  2. On the Approach to the Classification of Thesis Abstracts on Themes

    Novosibirsk State University Journal of Information Technologies, 15:1 (2017),  47–58
  3. Implementation of the Methods of Abstract Access to the Thesaurus

    Novosibirsk State University Journal of Information Technologies, 15:1 (2017),  15–35
  4. On the incompleteness of the Unruh fermion modes in the Minkowski space

    Pis'ma v Zh. Èksper. Teoret. Fiz., 89:8 (2009),  449–453
  5. Optimal error of analytic continuation from a finite set with inaccurate data in Hilbert spaces of holomorphic functions

    Sibirsk. Mat. Zh., 42:5 (2001),  1106–1116
  6. Theoretical justification of computational algorithms for problems of analytic continuation

    Sibirsk. Mat. Zh., 33:3 (1992),  175–185
  7. Minimax regularization for operator equations with random errors in the data

    Zh. Vychisl. Mat. Mat. Fiz., 32:4 (1992),  499–511
  8. Numerical algorithms for analytic continuation from discrete sets, and an algorithmic proof of uniqueness theorems

    Dokl. Akad. Nauk SSSR, 318:2 (1991),  285–288
  9. A numerical algorithm for the extrapolation of Wiener class functions

    Dokl. Akad. Nauk SSSR, 314:2 (1990),  306–309
  10. A minimax regularizing algorithm for solving an equation of convolution type

    Dokl. Akad. Nauk SSSR, 306:5 (1989),  1055–1058
  11. Construction of optimal solution procedures for operator equations

    Zh. Vychisl. Mat. Mat. Fiz., 28:7 (1988),  963–970
  12. Construction of minimax solutions of linear ill-posed problems with random errors in the data

    Zh. Vychisl. Mat. Mat. Fiz., 28:6 (1988),  825–834
  13. Optimal estimates of linear functionals of solutions of operator equations of the first kind with random errors in the data

    Dokl. Akad. Nauk SSSR, 287:1 (1986),  63–66
  14. Generalized Bayes solution methods for operator equations in Hilbert space

    Dokl. Akad. Nauk SSSR, 277:2 (1984),  307–309
  15. Well-posedness of the problem of constructing approximate solutions of ill-posed problems

    Dokl. Akad. Nauk SSSR, 272:5 (1983),  1064–1066
  16. On the posing of some ill-posed problems of mathematical physics with random input data

    Zh. Vychisl. Mat. Mat. Fiz., 22:1 (1982),  133–143
  17. The information inequality for operator equations in Hilbert space

    Teor. Veroyatnost. i Primenen., 26:2 (1981),  377–384
  18. Optimal linear procedures for solving linear operator equations with random data

    Zh. Vychisl. Mat. Mat. Fiz., 21:5 (1981),  1075–1090
  19. Some inequalities for the errors of approximate solutions of operator equations

    Zh. Vychisl. Mat. Mat. Fiz., 19:2 (1979),  277–291
  20. An estimate of the accuracy of approximate solutions of operator equations of the first kind with random errors in the initial data

    Dokl. Akad. Nauk SSSR, 240:3 (1978),  545–548


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