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Publications in Math-Net.Ru
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Newton-type method for solving systems of linear equations and inequalities
Zh. Vychisl. Mat. Mat. Fiz., 59:12 (2019), 2086–2101
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Projective-dual method for solving systems of linear equations with nonnegative variables
Zh. Vychisl. Mat. Mat. Fiz., 58:2 (2018), 169–180
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A new class of theorems of the alternative
Trudy Inst. Mat. i Mekh. UrO RAN, 22:3 (2016), 44–49
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On an inverse linear programming problem
Trudy Inst. Mat. i Mekh. UrO RAN, 21:3 (2015), 13–19
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Regularization and normal solutions of systems of linear equations and inequalities
Trudy Inst. Mat. i Mekh. UrO RAN, 20:2 (2014), 113–121
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Generalized Newton method for linear optimization problems with inequality constraints
Trudy Inst. Mat. i Mekh. UrO RAN, 19:2 (2013), 98–108
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Sensitivity function: Properties and applications
Zh. Vychisl. Mat. Mat. Fiz., 51:12 (2011), 2126–2142
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Parallel implementation of Newton's method for solving large-scale linear programs
Zh. Vychisl. Mat. Mat. Fiz., 49:8 (2009), 1369–1384
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Finding the projection of a given point on the set of solutions of a linear programming problem
Trudy Inst. Mat. i Mekh. UrO RAN, 14:2 (2008), 33–47
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On families of hyperplanes that separate polyhedra
Zh. Vychisl. Mat. Mat. Fiz., 45:2 (2005), 238–253
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Application of Newton's method for solving large linear programming problems
Zh. Vychisl. Mat. Mat. Fiz., 44:9 (2004), 1564–1573
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Theorems on alternatives and their applications to numerical methods
Zh. Vychisl. Mat. Mat. Fiz., 43:3 (2003), 354–375
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Two parametric families of LP problems and their applications
Trudy Inst. Mat. i Mekh. UrO RAN, 8:1 (2002), 31–44
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Application of theorems on the alternative to the determination of normal solutions of linear systems
Izv. Vyssh. Uchebn. Zaved. Mat., 2001, no. 12, 21–31
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Search for normal solutions in linear programming problems
Zh. Vychisl. Mat. Mat. Fiz., 40:12 (2000), 1766–1786
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Characterization of the optimal set of the multicriterion optimization problem
Zh. Vychisl. Mat. Mat. Fiz., 28:10 (1988), 1461–1474
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Two modifications of the linearization method in nonlinear programming
Zh. Vychisl. Mat. Mat. Fiz., 23:2 (1983), 314–325
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Iterative methods for solving non-linear programming problems, using modified Lagrange functions
Zh. Vychisl. Mat. Mat. Fiz., 20:4 (1980), 874–888
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On a class of methods for solving nonlinear programming problems
Dokl. Akad. Nauk SSSR, 239:3 (1978), 519–522
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