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Publications in Math-Net.Ru |
Citations |
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2022 |
| 1. |
V. N. Krutikov, P. S. Stanimirović, O. N. Indenko, E. M. Tovbis, L. A. Kazakovtsev, “Optimization of subgradient method parameters on the base of rank-two correction of metric matrices”, Diskretn. Anal. Issled. Oper., 29:3 (2022), 24–44   ; J. Appl. Industr. Math., 16:3 (2022), 427–439 |
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2019 |
| 2. |
V. N. Krutikov, N. S. Samoilenko, V. V. Meshechkin, “On the properties of the method of minimization for convex functions with relaxation on the distance to extremum”, Avtomat. i Telemekh., 2019, no. 1, 126–137  ; Autom. Remote Control, 80:1 (2019), 102–111   |
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2018 |
| 3. |
V. N. Krutikov, N. S. Samoilenko, “On the convergence rate of the subgradient method with metric variation and its applications in neural network approximation schemes”, Vestn. Tomsk. Gos. Univ. Mat. Mekh., 2018, no. 55, 22–37 |
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2015 |
| 4. |
Yu. N. Zakharov, V. N. Krutikov, Ya. N. Vershinin, “Optimization methods for solving systems of hydrodynamics nonlinear equations”, Vestn. Tomsk. Gos. Univ. Mat. Mekh., 2015, no. 5(37), 20–34 |
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2014 |
| 5. |
V. N. Krutikov, Ya. N. Vershinin, “The subgradient multistep minimization method for nonsmooth high-dimensional problems”, Vestn. Tomsk. Gos. Univ. Mat. Mekh., 2014, no. 3(29), 5–19 |
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1983 |
| 6. |
V. N. Krutikov, “On the rate of convergence of the minimization method along vectors in a given system of directions”, Zh. Vychisl. Mat. Mat. Fiz., 23:1 (1983), 218–220  ; U.S.S.R. Comput. Math. Math. Phys., 23:1 (1983), 154–155 |
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