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.

Construction of a Lévy-type process by means of the parametrix method ^{1}Knopova VP, ^{2}Kulik AM. Construction of a Lévy-type process by means of the parametrix method. 2016 ;(5):22-29.

A new variant of regularization for extragradient methods ^{1}Semenov VV, ^{2}Chabak LM. A new variant of regularization for extragradient methods. 2014 ;(10):45-50.

Methods of parallel vertical data processing in neural networks ^{1}Grytsyk VV, ^{1}Tsmots IG, ^{1}Skorokhoda OV. Methods of parallel vertical data processing in neural networks. 2014 ;(10):40-44.

Highly efficient classes of algorithms and high-performance systems implementing the synchronous interaction networks with data-processing systolic matrices ^{1}Hrytsyk VV, ^{2}Hrytsyk VV, ^{1}Zozulya AM. Highly efficient classes of algorithms and high-performance systems implementing the synchronous interaction networks with data-processing systolic matrices. 2015 ;(12):19-24.