Publications in Math-Net.Ru
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Optimization of subgradient method parameters on the base of rank-two correction of metric matrices
Diskretn. Anal. Issled. Oper., 29:3 (2022), 24–44
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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
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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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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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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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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
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