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.
Construction of a Lévy-type process by means of the parametrix method 1Knopova VP, 2Kulik 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 1Semenov VV, 2Chabak LM. A new variant of regularization for extragradient methods. 2014 ;(10):45-50.
Methods of parallel vertical data processing in neural networks 1Grytsyk VV, 1Tsmots IG, 1Skorokhoda 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 1Hrytsyk VV, 2Hrytsyk VV, 1Zozulya AM. Highly efficient classes of algorithms and high-performance systems implementing the synchronous interaction networks with data-processing systolic matrices. 2015 ;(12):19-24.
Modeling of the signal propagation in real systems with finite interval and absorption 1Kryvonos Yu.G, 2Selezov IT. Modeling of the signal propagation in real systems with finite interval and absorption. 2016 ;(4):35-40.
Application of the cyclic queueing systems 1Serebriakova SV. Application of the cyclic queueing systems. 2016 ;(3):32-37.
Polynomial algorithms of solution for some problems of construction of the timetables of a device for demands with waiting 1Iemets OO, 2Leonova MV. Polynomial algorithms of solution for some problems of construction of the timetables of a device for demands with waiting. 2016 ;(3):26-31.
Properties of linear unconditional optimization problems on arrangements under probabilistic uncertainty 1Iemets OO, 2Barbolina TM. Properties of linear unconditional optimization problems on arrangements under probabilistic uncertainty. 2016 ;(2):31-37.
Affine-invariant depth-based classifiers on the basis of the k-nearest neighbors method 1Galkin OA. Affine-invariant depth-based classifiers on the basis of the k-nearest neighbors method. 2016 ;(2):25-30.
