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Publications in Math-Net.Ru |
Citations |
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2022 |
1. |
S. A. Fadeev, V. A. Dedok, A. N. Bondarenko, “Polynomial classification algorithm of the Thomson problem solutions”, Sib. Zh. Ind. Mat., 25:2 (2022), 110–126 |
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2021 |
2. |
V. G. Romanov, T.V. Bugueva, V. A. Dedok, “Regularization of the solution of a Cauchy problem for a hyperbolic equation”, Sib. Zh. Ind. Mat., 24:1 (2021), 89–102 ; J. Appl. Industr. Math., 15:1 (2021), 118–128 |
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2019 |
3. |
V. A. Dedok, A. L. Karchevsky, V. G. Romanov, “A numerical method of determining permittivity from the modulus of the electric intensity vector of an electromagnetic field”, Sib. Zh. Ind. Mat., 22:3 (2019), 48–58 ; J. Appl. Industr. Math., 13:3 (2019), 436–446 |
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2018 |
4. |
V. G. Romanov, T. V. Bugueva, V. A. Dedok, “Regularization of the solution of the Cauchy problem: the quasi-reversibility method”, Sib. Zh. Ind. Mat., 21:4 (2018), 96–109 ; J. Appl. Industr. Math., 12:4 (2018), 716–728 |
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5. |
A. L. Karchevsky, V. A. Dedok, “Reconstruction of permittivity from the modulus of a scattered electric field”, Sib. Zh. Ind. Mat., 21:3 (2018), 50–59 ; J. Appl. Industr. Math., 12:3 (2018), 470–478 |
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2016 |
6. |
A. N. Bondarenko, T. V. Bugueva, V. A. Dedok, “Inverse problems of anomalous diffusion theory: the artificial neural network approach”, Sib. Zh. Ind. Mat., 19:3 (2016), 3–14 ; J. Appl. Industr. Math., 10:3 (2016), 311–321 |
15
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2013 |
7. |
A. N. Bondarenko, V. A. Dedok, L. A. Kozinkin, M. P. Tokarev, “Estimation of the efficiency of the method of hierarchical reconstruction for the problem of the reconstruction of discrete scattering centers from projections”, Sib. Zh. Ind. Mat., 16:2 (2013), 62–71 ; J. Appl. Industr. Math., 7:3 (2013), 335–343 |
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2009 |
8. |
A. N. Bondarenko, V. A. Dedok, “Quantum Polya theorem”, Sib. Èlektron. Mat. Izv., 6 (2009), 199–210 |
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2004 |
9. |
A. N. Bondarenko, V. A. Dedok, “Spectral surgery of quantum graphs”, Sib. Zh. Ind. Mat., 7:4 (2004), 16–28 |
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Organisations |
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