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ORCIDSergey A. Matveev
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- affiliation: Skolkovo Institute of Science and Technology, Russia
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Journal Articles
- 2023
[j9]Azamat Sultonov, Sergey A. Matveev
, Stanislav S. Budzinskiy:
Low-rank nonnegative tensor approximation via alternating projections and sketching. Comput. Appl. Math. 42(2) (2023)- 2022
- [j8]Aleksei Kalinov, Alexander Osinsky, Sergey A. Matveev, Wendy Otieno, Nikolai V. Brilliantov:
Direct simulation Monte Carlo for new regimes in aggregation-fragmentation kinetics. J. Comput. Phys. 467: 111439 (2022) - 2021
- [j7]Evgeny Ponomarev, Sergey A. Matveev, Ivan V. Oseledets, Valery Glukhov:
Latency Estimation Tool and Investigation of Neural Networks Inference on Mobile GPU. Comput. 10(8): 104 (2021) - 2019
- [j6]Ivan V. Timokhin, Sergey A. Matveev, Nana Siddharth, Eugene E. Tyrtyshnikov, Alexander P. Smirnov, Nikolai V. Brilliantov:
Newton method for stationary and quasi-stationary problems for Smoluchowski-type equations. J. Comput. Phys. 382: 124-137 (2019) - 2018
- [j5]Sergey A. Matveev, V. I. Stadnichuk, E. E. Tyrtyshnikov, Alexander P. Smirnov, N. V. Ampilogova, Nikolai V. Brilliantov:
Anderson acceleration method of finding steady-state particle size distribution for a wide class of aggregation-fragmentation models. Comput. Phys. Commun. 224: 154-163 (2018) - [j4]Andrey Somov, Dmitrii G. Shadrin, Ilia Fastovets, Artyom Nikitin, Sergey A. Matveev, Ivan V. Oseledets, Oleksii Hrinchuk:
Pervasive Agriculture: IoT-Enabled Greenhouse for Plant Growth Control. IEEE Pervasive Comput. 17(4): 65-75 (2018) - [j3]Sergey A. Matveev, Rishat R. Zagidullin, Alexander P. Smirnov, Eugene E. Tyrtyshnikov:
Parallel Numerical Algorithm for Solving Advection Equation for Coagulating Particles. Supercomput. Front. Innov. 5(2): 43-54 (2018) - 2016
- [j2]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) - 2015
- [j1]Sergey A. Matveev, Alexander P. Smirnov, E. E. Tyrtyshnikov:
A fast numerical method for the Cauchy problem for the Smoluchowski equation. J. Comput. Phys. 282: 23-32 (2015)
Conference and Workshop Papers
- 2021
- [c5]Mikhail Gasanov, Daniil Merkulov, Artyom Nikitin, Sergey A. Matveev, Nikita Stasenko, Anna Petrovskaia, Mariia Pukalchik, Ivan V. Oseledets:
A New Multi-objective Approach to Optimize Irrigation Using a Crop Simulation Model and Weather History. ICCS (4) 2021: 75-88 - 2020
- [c4]Mikhail Gasanov, Anna Petrovskaia, Artyom Nikitin, Sergey A. Matveev, Polina Tregubova, Maria Pukalchik, Ivan V. Oseledets:
Sensitivity Analysis of Soil Parameters in Crop Model Supported with High-Throughput Computing. ICCS (7) 2020: 731-741 - 2019
- [c3]Daniil A. Stefonishin, Sergey A. Matveev, Dmitry A. Zheltkov:
Tensors in Modelling Multi-particle Interactions. LSSC 2019: 173-180 - [c2]Rishat R. Zagidullin, Alexander P. Smirnov, Sergey A. Matveev, Eugene Tyrtyshnikov:
Supercomputer Modelling of Spatially-heterogeneous Coagulation using MPI and CUDA. RuSCDays 2019: 403-414 - 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
Informal and Other Publications
- 2025
- [i13]Roman R. Dyachenko, Sergey A. Matveev, Bulat I. Valiakhmetov:
Mosaic-skeleton approximation is all you need for Smoluchowski equations. CoRR abs/2501.10206 (2025) - [i12]Pavel Kharyuk, Sergey A. Matveev, Ivan V. Oseledets:
Exploring specialization and sensitivity of convolutional neural networks in the context of simultaneous image augmentations. CoRR abs/2503.03283 (2025) - 2024
- [i11]Pavel L. Krapivsky, Sergey A. Matveev:
Gelation in input-driven aggregation. CoRR abs/2404.01032 (2024) - [i10]Sergey A. Matveev, Ilya Tretyak:
Nonnegative tensor train for the multicomponent Smoluchowski equation. CoRR abs/2404.10898 (2024) - [i9]Sergey A. Matveev, Matvey Smirnov:
Estimates for the quantized tensor train ranks for the power functions. CoRR abs/2404.12230 (2024) - [i8]Sergey A. Matveev, Viktor Zhilin, Alexander P. Smirnov:
Adaptive time-stepping for aggregation-shattering kinetics. CoRR abs/2407.16559 (2024) - 2023
- [i7]Roman R. Dyachenko, Sergey A. Matveev, Pavel L. Krapivsky:
Finite Size Effects in Addition and Chipping Processes. CoRR abs/2307.13111 (2023) - 2022
- [i6]Sergey A. Matveev, Stanislav S. Budzinskiy:
Sketching for low-rank nonnegative matrix approximation: a numerical study. CoRR abs/2201.11154 (2022) - [i5]Azamat Sultonov, Sergey A. Matveev, Stanislav S. Budzinskiy:
Low-rank nonnegative tensor approximation via alternating projections and sketching. CoRR abs/2209.02060 (2022) - 2021
- [i4]Aleksei Kalinov, Alexander Osinsky, Sergey A. Matveev, Wendy Otieno, Nikolai V. Brilliantov:
Direct simulation Monte Carlo for new regimes in aggregation-fragmentation kinetics. CoRR abs/2103.09481 (2021) - [i3]Rishat R. Zagidullin, Alexander P. Smirnov, Sergey A. Matveev, Nikolai V. Brilliantov, Pavel L. Krapivsky:
Aggregation in non-uniform systems with advection and localized source. CoRR abs/2112.13193 (2021) - 2020
- [i2]Ivan V. Timokhin, Sergey A. Matveev, Eugene E. Tyrtyshnikov, Alexander P. Smirnov:
Model reduction in Smoluchowski-type equations. CoRR abs/2008.09439 (2020) - [i1]Stanislav S. Budzinskiy, Sergey A. Matveev, Pavel L. Krapivsky:
Hopf bifurcation in addition-shattering kinetics. CoRR abs/2012.09003 (2020)
Coauthor Index
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