O.V. Sirotkin, M.S. Yaroshynskyi, D.P. Sinko, S.B. Hunko, D.O. Manoliuk
Èlektron. model. 2025, 47(3):28-45
https://doi.org/10.15407/emodel.47.03.028
ABSTRACT
An approach to numerical modeling is considered, which suggests the representation of states (points) of the phase space in the form of sub-states. In the future, this approach will simplify the parallelization of calculations of numerical models. The definition of the modeled object, the set of states of the object, the model and the simulation of the model are given. The method of decomposition of each state of the object into several sub-states is shown.
KEYWORDS
modeling, state space, phase space, model, numerical simulation.
REFERENCES
- Contributors to Wikimedia projects. Subject and object (philosophy) — Wikipedia. Wikipedia, the free encyclopedia. URL: https://en.wikipedia.org/wiki/Subject_and_object_ (philosophy) (date of access: 12.03.2025).
- Achinstein, P. (1965). Theoretical models. The British Journal for the Philosophy of Science, 16(62), 102-120. https://doi.org/10.1093/bjps/xvi.62.102
- Banks, J. (2001). Discrete-event system simulation(3-тє вид.). Prentice Hall. 5 p.
- Babbie, E.R. (2020). Practice of social research. Cengage Learning. 14-18
- Myshkis A.D. (1994). Elements of the theory of mathematical models. 8-9
- Nolte, D.D. (2010). The tangled tale of phase space. Physics Today, 63(4), 33-38. https://doi.org/10.1063/1.3397041
- SWRS/Python/scripts/mixing_example/function_set_representation.py at master AlexCAB/ SWRS. GitHub. https://github.com/AlexCAB/SWRS/blob/master/Python/scripts/mixing_ example/function_set_representation.py
- SWRS/Python/scripts/mixing_example/sub_state_set_representation.py at master AlexCAB/ SWRS. GitHub. https://github.com/AlexCAB/SWRS/blob/master/Python/scripts/mixing_ example/sub_state_set_representation.py
- SWRS/Python/scripts/mixing_example/function_set_interactive_simulation.py at master AlexCAB/SWRS. GitHub. https://github.com/AlexCAB/SWRS/blob/master/Python/scripts/ mixing_example/function_set_interactive_simulation.py