@article{Bektemessov_Gasnikov_Lagunskaya А_Ordabayeva_2018, title={Algorithmic models of human behavior and stochastic optimization}, volume={95}, url={https://bm.kaznu.kz/index.php/kaznu/article/view/473}, DOI={10.26577/jmmcs-2017-3-473}, abstractNote={<p>The article explores the parallelization of computations in solving stochastic optimization<br>problems; The application of the results obtained here to the search for an equilibrium distribution<br>of flows along paths is considered; The dependence of the rate of convergence of optimal algorithms<br>in the problems of stochastic, gradient optimization is investigated, depending on the number of<br>calls to the oracle behind the implementation of the function at each iteration. A distinctive feature<br>of this article is the demonstration of the results obtained with illustrative examples.<br>Key words: Stochastic mirror descent, gradient methods, the search for equilibrium in</p>}, number={3}, journal={Journal of Mathematics, Mechanics and Computer Science}, author={Bektemessov, M. A. and Gasnikov, A. V. and Lagunskaya А А. А. and Ordabayeva, Zh. M.}, year={2018}, month={Aug.}, pages={50–68} }