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Dmitry A. Zheltkov
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2010 – 2019
- 2019
- [c8]Stanislav Morozov, Dmitry A. Zheltkov, Nikolai L. Zamarashkin:
On the Problem of Decoupling Multivariate Polynomials. LSSC 2019: 133-139 - [c7]Daniil A. Stefonishin, Sergey A. Matveev, Dmitry A. Zheltkov:
Tensors in Modelling Multi-particle Interactions. LSSC 2019: 173-180 - [c6]Dmitry A. Zheltkov, Alexander Osinsky:
Global Optimization Algorithms Using Tensor Trains. LSSC 2019: 197-202 - [c5]Valerya V. Zheltkova, Dmitry A. Zheltkov, Gennady Bocharov, Eugene Tyrtyshnikov:
Application of the Global Optimization Methods for Solving the Parameter Estimation Problem in Mathematical Immunology. LSSC 2019: 203-209 - 2018
- [c4]Nikolai L. Zamarashkin, Dmitry A. Zheltkov:
Block Lanczos-Montgomery Method over Large Prime Fields with GPU Accelerated Dense Operations. RuSCDays 2018: 40-49 - 2017
- [c3]Nikolai L. Zamarashkin, Dmitry A. Zheltkov:
GPU Acceleration of Dense Matrix and Block Operations for Lanczos Method for Systems over Large Prime Finite Field. RuSCDays 2017: 14-26 - [c2]Alexey V. Sulimov, Dmitry A. Zheltkov, Igor V. Oferkin, Danil C. Kutov, Ekaterina V. Katkova, Eugene E. Tyrtyshnikov, Vladimir B. Sulimov:
Tensor Train Global Optimization: Application to Docking in the Configuration Space with a Large Number of Dimensions. RuSCDays 2017: 151-167 - 2016
- [j1]Sergey A. Matveev, Dmitry A. Zheltkov, Eugene E. Tyrtyshnikov, Alexander P. Smirnov:
Tensor train versus Monte Carlo for the multicomponent Smoluchowski coagulation equation. J. Comput. Phys. 316: 164-179 (2016) - [c1]Alexander P. Smirnov, Sergey A. Matveev, Dmitry A. Zheltkov, Eugene E. Tyrtyshnikov:
Fast and Accurate Finite-difference Method Solving Multicomponent Smoluchowski Coagulation Equation with Source and Sink Terms. ICCS 2016: 2141-2146
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