|
|
2024, Volume 25, Issue 2
|
|
|
|
|
Methods and algorithms of computational mathematics and their applications
|
|
Numerical image denoising and deblurring via an approximate weighted mean curvature flow model A. A. Timonov
|
115–126 |
|
Performance analysis methodology of deep neural networks inference on the example of an image classification problem M. R. Alibekov, N. E. Berezina, E. P. Vasiliev, I. B. Vikhrev, Yu. D. Kamelina, V. D. Kustikova, Z. A. Maslova, I. S. Mukhin, A. K. Sidorova, V. N. Suchkov
|
127–141 |
|
Optimization of the training dataset for NDM-net (Numerical Dispersion Mitigation neural network) E. A. Gondyul, V. V. Lisitsa, K. G. Gadylshin, D. M. Vishnevskii
|
155–174 |
|
Software for solving problems of filtration fluid dynamics with phase hydrate and water-ice transformations O. R. Rahimly
|
175–186 |
|
Acceleration of parallel solution of 2D boundary value problems with two-grid preconditioning A. N. Kozyrev, V. D. Korneev, V. M. Sveshnikov
|
187–196 |
|
Program package for two-dimensional modeling offluidodynamic processes in hydrate-containing environment of sedimentary basins A. E. Bakeer
|
197–213 |
|
An analysis of the efficiency of higher-order symplectic schemes by the example of a problem of the collision of a nanoparticle with an obstacle E. V. Vorozhtsov
|
214–237 |
|
A method for refining the numerical solution to the problem of optimizing the kinematic scheme for forming panels K. S. Bormotin
|
238–245 |
|
|
Parallel software tools and technologies
|
|
Modified method large sparse unstructured matrices processing on reconfigurable computing systems I. I. Levin, A. V. Podoprigora
|
142–154 |
|
|