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Improving the traffic situation by shifting the turn and adjusting the traffic lights [PDF]

E3S Web of Conferences, 2023
The article deals with the problem of the formation of a traffic jam on the one of the street Krasnoyarsk cities. According to statistics, the largest set of accidents occur when turning the vehicle.
Stupin Artem, Kazakovtsev Lev, Stupina Alena, Antamoshkin Oleslav, Stasiuk Vladislav   +4 more
doaj   +1 more source

On the Convergence Rate of Quasi-Newton Methods on Strongly Convex Functions with Lipschitz Gradient

Mathematics, 2023
The main results of the study of the convergence rate of quasi-Newton minimization methods were obtained under the assumption that the method operates in the region of the extremum of the function, where there is a stable quadratic representation of the ...
Vladimir Krutikov, Elena Tovbis, Predrag Stanimirović, Lev Kazakovtsev   +3 more
doaj   +1 more source

Subgroup Discovery in Machine Learning Problems with Formal Concepts Analysis and Test Theory Algorithms

Algorithms, 2023
A number of real-world problems of automatic grouping of objects or clustering require a reasonable solution and the possibility of interpreting the result. More specific is the problem of identifying homogeneous subgroups of objects.
Igor Masich, Natalya Rezova, Guzel Shkaberina, Sergei Mironov, Mariya Bartosh, Lev Kazakovtsev   +5 more
doaj   +1 more source

Properties of the Quadratic Transformation of Dual Variables

Algorithms, 2023
We investigate a solution of a convex programming problem with a strongly convex objective function based on the dual approach. A dual optimization problem has constraints on the positivity of variables.
Vladimir Krutikov, Elena Tovbis, Anatoly Bykov, Predrag Stanimirovic, Ekaterina Chernova, Lev Kazakovtsev   +5 more
doaj   +1 more source

Calculating the Moore–Penrose Generalized Inverse on Massively Parallel Systems

Algorithms, 2022
In this work, we consider the problem of calculating the generalized Moore–Penrose inverse, which is essential in many applications of graph theory.
Vukašin Stanojević, Lev Kazakovtsev, Predrag S. Stanimirović, Natalya Rezova, Guzel Shkaberina   +4 more
doaj   +1 more source

Hybridized Ackermann’s Methods

IEEE Access, 2022
D'autres précisions sur la méthode d'Ackermann modifiée (MAM) pour l'attribution de valeurs propres sont examinées dans cet article. Des résultats supplémentaires concernant l'attribution de valeur propre incomplète (aie) sont déclarés, vérifiés et commentés. Les avantages de l'aie sont poursuivis encore plus loin dans cette étude au-delà de ce qui est
openaire   +1 more source

Recurrent Neural Network Models Based on Optimization Methods

Mathematics, 2022
Many researchers have addressed problems involving time-varying (TV) general linear matrix equations (GLMEs) because of their importance in science and engineering.
Predrag S. Stanimirović, Spyridon D. Mourtas, Vasilios N. Katsikis, Lev A. Kazakovtsev, Vladimir N. Krutikov   +4 more
doaj   +1 more source

Synthetic Conditions for Obtaining Different Types of Amine-Holding Silica Particles and Their Sorption Behavior

Crystals, 2023
The Stöber version of a sol-gel method of co-condensation of two alkoxysilanes (structuring tetraethoxysilane (TEOS) and functionalising N-containing silane) in an ammonia medium was used for the one-pot synthesis of spherical silica particles with ≡Si ...
Inna Melnyk, Veronika Tomina, Nataliya Stolyarchuk   +2 more
doaj   +1 more source

Preface [PDF]

ITM Web of Conferences
The preface provides an overview of the III International Workshop “Hybrid Methods of Modeling and Optimization in Complex Systems” (HMMOCS-III 2024), held from December 2-4, 2024, in Krasnoyarsk, Russian Federation.
Stanimirović Predrag, Stupina Alena, Kovalev Igor, Mourtas Spyridon, Sahoo Jajati Keshari   +4 more
doaj   +1 more source

A Modified Dai–Liao Conjugate Gradient Method Based on a Scalar Matrix Approximation of Hessian and Its Application

Journal of Mathematics, 2023
We introduce and investigate proper accelerations of the Dai–Liao (DL) conjugate gradient (CG) family of iterations for solving large-scale unconstrained optimization problems.
Branislav Ivanov, Gradimir V. Milovanović, Predrag S. Stanimirović, Aliyu Muhammed Awwal, Lev A. Kazakovtsev, Vladimir N. Krutikov   +5 more
doaj   +1 more source