A monotone iterative method for solving the combinatorial game-type optimization problems on permutations 1Iemets OO, 1Olkhovskaya 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 1Shevchenko AI, 1Minenko 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 1Zayats 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 1Kopets 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 1Galkin 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 1Stoyan Yu.G, 1Pankratov AV, 1Romanova TE, 2Chernov NI. Quasi-phi-functions for a mathematical modeling of the relations of geometric objects. 2014 ;(9):49-54.
The method of permissible basis matrices 1Kudin VI. The method of permissible basis matrices. 2014 ;(9):44-48.
On the sedimentation modeling by a hyperbolic equation and its degeneration 1Kryvonos Yu.G, 2Selezov 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 1Galkin 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 1Kuznetsov 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.
