Fast and Accurate Finite-difference Method Solving Multicomponent Smoluchowski Coagulation Equation with Source and Sink Terms. - Alexander P. Smirnov; Sergey A. Matveev; Dmitry A. Zheltkov; Eugene E. Tyrtyshnikov (ICCS, 2016)

Tensor train versus Monte Carlo for the multicomponent Smoluchowski coagulation equation. - Sergey A. Matveev; Dmitry A. Zheltkov; Eugene E. Tyrtyshnikov; Alexander P. Smirnov (J. Comput. Phys., 2016)

Tensor Train Global Optimization: Application to Docking in the Configuration Space with a Large Number of Dimensions. - Alexey V. Sulimov; Dmitry A. Zheltkov; Igor V. Oferkin; Danil C. Kutov; Ekaterina V. Katkova; Eugene E. Tyrtyshnikov; Vladimir B. Sulimov (RuSCDays, 2017)

GPU Acceleration of Dense Matrix and Block Operations for Lanczos Method for Systems over Large Prime Finite Field. - Nikolai L. Zamarashkin; Dmitry A. Zheltkov (RuSCDays, 2017)

Block Lanczos-Montgomery Method over Large Prime Fields with GPU Accelerated Dense Operations. - Nikolai L. Zamarashkin; Dmitry A. Zheltkov (RuSCDays, 2018)

On the Problem of Decoupling Multivariate Polynomials. - Stanislav Morozov; Dmitry A. Zheltkov; Nikolai L. Zamarashkin (LSSC, 2019)

Tensors in Modelling Multi-particle Interactions. - Daniil A. Stefonishin; Sergey A. Matveev; Dmitry A. Zheltkov (LSSC, 2019)

Global Optimization Algorithms Using Tensor Trains. - Dmitry A. Zheltkov; Alexander Osinsky (LSSC, 2019)

Application of the Global Optimization Methods for Solving the Parameter Estimation Problem in Mathematical Immunology. - Valerya V. Zheltkova; Dmitry A. Zheltkov; Gennady Bocharov; Eugene Tyrtyshnikov (LSSC, 2019)

Accelerated alternating minimization algorithm for low-rank approximations in the Chebyshev norm. - Stanislav Morozov; Dmitry A. Zheltkov; Alexander Osinsky (CoRR, 2024)