mgr Piotr Bartman-Szwarc

Jednostki:

  • Wydział Matematyki i Informatyki UJ
  • Katedra Teorii Optymalizacji i Sterowania
  • Katedra Teorii Optymalizacji i Sterowania

Publikacje:

8.
Piotr Bartman-Szwarc, Anna Ochal, Mircea Sofonea
Duality Arguments in the Analysis of a Viscoelastic Contact Problem, Communications in Nonlinear Science and Numerical Simulation vol. 128 (2024), 103871
7.
Krzysztof Bartosz, Piotr Bartman-Szwarc, Michał Jureczka, Paweł Szafraniec
Numerical analysis of a non-clamped dynamic thermoviscoelastic contact problem, Nonlinear Analysis: Real World Applications vol. 73 (2023) (2023), 20 stron, nr 103870
6.
Michał Jureczka, Anna Ochal, Piotr Bartman-Szwarc
A nonsmooth optimization approach for time-dependent hemivariational inequalities, Nonlinear Analysis: Real World Applications vol. 73 (2023), 103871 (19 stron)
5.
Piotr Bartman-Szwarc, Jakub Banaśkiewicz, Szymon Drenda, Maciej Manna, Michael Olesik, Paweł Rozwoda, Michał Sadowski, Sylwester Arabas
PyMPDATA v1: Numba-accelerated implementation of MPDATA with examples in Python, Julia and Matlab, Journal of Open Source Software vol. 7(77) (2022),
4.
Piotr Bartman-Szwarc, Oleksii Bulenok, Kamil Górski, Anna Jaruga, Grzegorz Łazarski, Michael Olesik, Bartosz Piasecki, Clare Singer, Aleksandra Talar, Sylwester Arabas
PySDM v1: particle-based cloud modelling package for warm-rain microphysics and aqueous chemistry, Journal of Open Source Software vol. 7(72) (2022), 3219
3.
Piotr Bartman-Szwarc, Michał Jureczka, Anna Ochal
A survey of numerical methods for hemivariational inequalities with applications to contact mechanics, Communications in Nonlinear Science and Numerical Simulation vol. 114 (2022), 106563
2.
Michael Olesik, Jakub Banaśkiewicz, Piotr Bartman-Szwarc, Manuel Baumgartner, Simon Unterstrasser, Sylwester Arabas
On numerical broadening of particle-size spectra: a condensational growth study using PyMPDATA 1.0, Geoscientific Model Development vol. 15 (9) (2022), 3879–3899
1.
Piotr Bartman-Szwarc, Sylwester Arabas
On the Design of Monte-Carlo Particle Coagulation Solver Interface: A CPU/GPU Super-Droplet Method Case Study with PySDM, International Conference on Computational Science [ICCS] vol. 12743 (2021), 16-30