A monotone iterative method for solving the combinatorial game-type optimization problems on permutations ^{1}Iemets OO, ^{1}Olkhovskaya EV. A monotone iterative method for solving the combinatorial game-type optimization problems on permutations. 2014 ;(8):48-52.

On one class of integral functionals with a variable domain of integration ^{1}Shevchenko AI, ^{1}Minenko AS. On one class of integral functionals with a variable domain of integration. 2014 ;(1):43-46.

Two approaches to the construction of optimal second-order numerical methods and their application to the analysis of oscillatory nonlinear systems ^{1}Zayats VM. Two approaches to the construction of optimal second-order numerical methods and their application to the analysis of oscillatory nonlinear systems. 2014 ;(1):37-42.

Optimization of the process of axisymmetric vibrations of a circular ring ^{1}Kopets MM. Optimization of the process of axisymmetric vibrations of a circular ring. 2016 ;(7):33-38.

Research of properties of the extrapolation depth functions using kernel density estimates ^{1}Galkin OA. Research of properties of the extrapolation depth functions using kernel density estimates. 2016 ;(7):27-32.

Quasi-phi-functions for a mathematical modeling of the relations of geometric objects ^{1}Stoyan Yu.G, ^{1}Pankratov AV, ^{1}Romanova TE, ^{2}Chernov NI. Quasi-phi-functions for a mathematical modeling of the relations of geometric objects. 2014 ;(9):49-54.

The method of permissible basis matrices ^{1}Kudin VI. The method of permissible basis matrices. 2014 ;(9):44-48.

On the sedimentation modeling by a hyperbolic equation and its degeneration ^{1}Kryvonos Yu.G, ^{2}Selezov IT. On the sedimentation modeling by a hyperbolic equation and its degeneration. 2014 ;(9):40-43.

The asymptotic properties of a Σ-classifier for multiclass recognition problems with non-elliptic distribution of data ^{1}Galkin OA. The asymptotic properties of a Σ-classifier for multiclass recognition problems with non-elliptic distribution of data. 2016 ;(6):25-30.

Application of the Monte-Carlo simulation for the statistical testing of the hypothesis that a steady-state distribution of the number of customers in the queueing system GI/G/∞ tends to the normal distribution in the case of heavy traffic ^{1}Kuznetsov IN. Application of the Monte-Carlo simulation for the statistical testing of the hypothesis that a steady-state distribution of the number of customers in the queueing system GI/G/∞ tends to the normal distribution in the case of heavy traffic. 2016 ;(5):30-35.