Zobrazeno 1 - 10
of 203
pro vyhledávání: '"Paszynski, Maciej"'
Autor:
Paszyński, Maciej
We show that assuming the availability of the processor with variable precision arithmetic, we can compute matrix-by-matrix multiplications in $O(N^2log_2N)$ computational complexity. We replace the standard matrix-by-matrix multiplications algorithm
Externí odkaz:
http://arxiv.org/abs/2410.21050
Autor:
Sikora, Maciej, Oliver-Serra, Albert, Siwik, Leszek, Leszczyńska, Natalia, Ciesielski, Tomasz Maciej, Valseth, Eirik, Leszczyński, Jacek, Paszyńska, Anna, Paszyński, Maciej
In this paper, we present two computational methods for performing simulations of pollution propagation described by advection-diffusion equations. The first method employs graph grammars to describe the generation process of the computational mesh u
Externí odkaz:
http://arxiv.org/abs/2409.08799
Autor:
Maczuga, Paweł, Łoś, Marcin, Valseth, Eirik, Serra, Albert Oliver, Siwik, Leszek, Celaya, Elisabede Alberdi, Paszyńska, Anna, Paszyński, Maciej
The Northern European Enclosure Dam (NEED) is a hypothetical project to prevent flooding in European countries following the rising ocean level due to melting arctic glaciers. This project involves the construction of two large dams between Scotland
Externí odkaz:
http://arxiv.org/abs/2405.02310
We present a MATLAB code for exponential integrators method simulating the glioblastoma tumor growth. It employs the Fisher-Kolmogorov diffusion-reaction tumor brain model with logistic growth. The input is the MRI scans of the human head and the ini
Externí odkaz:
http://arxiv.org/abs/2402.02273
Autor:
Łoś, Marcin, Służalec, Tomasz, Maczuga, Paweł, Vilkha, Askold, Uriarte, Carlos, Paszyński, Maciej
Physics-Informed Neural Networks (PINNs) have been successfully applied to solve Partial Differential Equations (PDEs). Their loss function is founded on a strong residual minimization scheme. Variational Physics-Informed Neural Networks (VPINNs) are
Externí odkaz:
http://arxiv.org/abs/2401.02300