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Publications in Math-Net.Ru
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Technology of balanced identification for selection of pine transpiration mathematical model
Mat. Biolog. Bioinform., 14:2 (2019), 665–682
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A generalization of the Karush–Kuhn–Tucker theorem for approximate solutions of mathematical programming problems based on quadratic approximation
Zh. Vychisl. Mat. Mat. Fiz., 58:3 (2018), 383–396
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Evaluation of a coarse-grained branch-and-bound algorithm in the Everest computing environment
Program Systems: Theory and Applications, 8:1 (2017), 105–119
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Diffraction-based characterization of amorphous $\operatorname{sp}^2$ carbon: sensitivity to domain-like packing of nanostructures
Nanosystems: Physics, Chemistry, Mathematics, 7:1 (2016), 226–233
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Effective use of discrete optimization solvers in cloud infrastructure on the basis of heuristic decomposition of the initial problem by optimization modeling system AMPL
Program Systems: Theory and Applications, 7:1 (2016), 29–46
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Pre-decomposition of discrete optimization problems to speed up the branch and bound method in a distributed computing environment
Computer Research and Modeling, 7:3 (2015), 719–725
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Software integration in scientific computing
Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2012, no. 3, 66–71
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X-ray nanomaterial diffractometry data processing in the distributed environment of restful services
Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2011, no. 4, 10–20
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Интеграция инструментария IARnet с технологией ICE
Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2008, no. 1, 38–50
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Реализация GRID-вычислений в среде IARnet
Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2005, no. 2, 61–75
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Approximate search for a global minimum in problems of mathematical programming that are close to convex
Zh. Vychisl. Mat. Mat. Fiz., 39:3 (1999), 386–417
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Approximate global minimization of nonconvex functions that are close to convex
Zh. Vychisl. Mat. Mat. Fiz., 37:7 (1997), 771–784
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Construction of Continuous Demand Functions by the Methods of Economic Index Theory
Avtomat. i Telemekh., 1996, no. 9, 158–166
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Approximation methods for problems of nonlinear programming
Zh. Vychisl. Mat. Mat. Fiz., 34:8-9 (1994), 1133–1149
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