A fast numerical method for the Cauchy problem for the Smoluchowski equation. - Sergey A. Matveev; Alexander P. Smirnov; E. E. Tyrtyshnikov (J. Comput. Phys., 2015)

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)

Anderson acceleration method of finding steady-state particle size distribution for a wide class of aggregation-fragmentation models. - Sergey A. Matveev; V. I. Stadnichuk; E. E. Tyrtyshnikov; Alexander P. Smirnov; N. V. Ampilogova; Nikolai V. Brilliantov (Comput. Phys. Commun., 2018)

Pervasive Agriculture: IoT-Enabled Greenhouse for Plant Growth Control. - Andrey Somov; Dmitrii G. Shadrin; Ilia Fastovets; Artyom Nikitin; Sergey A. Matveev; Ivan V. Oseledets; Oleksii Hrinchuk (IEEE Pervasive Comput., 2018)

Parallel Numerical Algorithm for Solving Advection Equation for Coagulating Particles. - Sergey A. Matveev; Rishat R. Zagidullin; Alexander P. Smirnov; Eugene E. Tyrtyshnikov (Supercomput. Front. Innov., 2018)

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

Supercomputer Modelling of Spatially-heterogeneous Coagulation using MPI and CUDA. - Rishat R. Zagidullin; Alexander P. Smirnov; Sergey A. Matveev; Eugene Tyrtyshnikov (RuSCDays, 2019)

Newton method for stationary and quasi-stationary problems for Smoluchowski-type equations. - Ivan V. Timokhin; Sergey A. Matveev; Nana Siddharth; Eugene E. Tyrtyshnikov; Alexander P. Smirnov; Nikolai V. Brilliantov (J. Comput. Phys., 2019)

Sensitivity Analysis of Soil Parameters in Crop Model Supported with High-Throughput Computing. - Mikhail Gasanov; Anna Petrovskaia; Artyom Nikitin; Sergey A. Matveev; Polina Tregubova; Maria Pukalchik; Ivan V. Oseledets (ICCS (7), 2020)

Model reduction in Smoluchowski-type equations. - Ivan V. Timokhin; Sergey A. Matveev; Eugene E. Tyrtyshnikov; Alexander P. Smirnov (CoRR, 2020)

Hopf bifurcation in addition-shattering kinetics. - Stanislav S. Budzinskiy; Sergey A. Matveev; Pavel L. Krapivsky (CoRR, 2020)

A New Multi-objective Approach to Optimize Irrigation Using a Crop Simulation Model and Weather History. - Mikhail Gasanov; Daniil Merkulov; Artyom Nikitin; Sergey A. Matveev; Nikita Stasenko; Anna Petrovskaia; Mariia Pukalchik; Ivan V. Oseledets (ICCS (4), 2021)

Latency Estimation Tool and Investigation of Neural Networks Inference on Mobile GPU. - Evgeny Ponomarev; Sergey A. Matveev; Ivan V. Oseledets; Valery Glukhov (Comput., 2021)

Aggregation in non-uniform systems with advection and localized source. - Rishat R. Zagidullin; Alexander P. Smirnov; Sergey A. Matveev; Nikolai V. Brilliantov; Pavel L. Krapivsky (CoRR, 2021)

Sketching for low-rank nonnegative matrix approximation: a numerical study. - Sergey A. Matveev; Stanislav S. Budzinskiy (CoRR, 2022)

Direct simulation Monte Carlo for new regimes in aggregation-fragmentation kinetics. - Aleksei Kalinov; Alexander Osinsky; Sergey A. Matveev; Wendy Otieno; Nikolai V. Brilliantov (J. Comput. Phys., 2022)

Finite Size Effects in Addition and Chipping Processes. - Roman R. Dyachenko; Sergey A. Matveev; Pavel L. Krapivsky (CoRR, 2023)

Low-rank nonnegative tensor approximation via alternating projections and sketching. - Azamat Sultonov; Sergey A. Matveev; Stanislav S. Budzinskiy (Comput. Appl. Math., 2023)

Gelation in input-driven aggregation. - Pavel L. Krapivsky; Sergey A. Matveev (CoRR, 2024)

Nonnegative tensor train for the multicomponent Smoluchowski equation. - Sergey A. Matveev; Ilya Tretyak (CoRR, 2024)

Estimates for the quantized tensor train ranks for the power functions. - Sergey A. Matveev; Matvey Smirnov (CoRR, 2024)

Adaptive time-stepping for aggregation-shattering kinetics. - Sergey A. Matveev; Viktor Zhilin; Alexander P. Smirnov (CoRR, 2024)

Mosaic-skeleton approximation is all you need for Smoluchowski equations. - Roman R. Dyachenko; Sergey A. Matveev; Bulat I. Valiakhmetov (CoRR, 2025)

Exploring specialization and sensitivity of convolutional neural networks in the context of simultaneous image augmentations. - Pavel Kharyuk; Sergey A. Matveev; Ivan V. Oseledets (CoRR, 2025)