Numerical Modelling of Mean-Field Game Epidemic Full article
| Conference |
XIV International Conference Optimization and Applications 18-22 Sep 2023 , Петровац, Черногория |
||||
|---|---|---|---|---|---|
| Source | Optimization and Applications : 14th International Conference, OPTIMA 2023, Petrovac, Montenegro, September 18–22, 2023, Revised Selected Papers Compilation, Springer. 2023. 390 c. ISBN 9783031478598. |
||||
| Journal |
Lecture Notes in Computer Science
ISSN: 0302-9743 , E-ISSN: 1611-3349 |
||||
| Output data | Year: 2023, Volume: 14395, Pages: 207-217 Pages count : 11 DOI: 10.1007/978-3-031-47859-8_15 | ||||
| Tags | Mean field game · Kolmogorov-Fokker-Planck · Hamilton-Jacobi-Bellman · Collocation method · SIR model | ||||
| Authors |
|
||||
| Affiliations |
|
Funding (2)
| 1 | Russian Science Foundation | 23-71-10068 |
| 2 | Mathematical Center in Akademgorodok | 075-15-2022-282 |
Abstract:
The mean-field game model of infectious disease local propagation is formulated and solved numerically considering social behavior of modelled population. The numerical algorithm based on collocation method is proposed. As a result of numerical modelling with specific assumptions about population, its movement cost, knowledge about infected group, initial distribution and its optimal behavior is acquired and discussed.
Cite:
Neverov A.
, Krivorotko O.
Numerical Modelling of Mean-Field Game Epidemic
In compilation Optimization and Applications : 14th International Conference, OPTIMA 2023, Petrovac, Montenegro, September 18–22, 2023, Revised Selected Papers. – Springer., 2023. – C.207-217. – ISBN 9783031478598. DOI: 10.1007/978-3-031-47859-8_15 Scopus OpenAlex
Numerical Modelling of Mean-Field Game Epidemic
In compilation Optimization and Applications : 14th International Conference, OPTIMA 2023, Petrovac, Montenegro, September 18–22, 2023, Revised Selected Papers. – Springer., 2023. – C.207-217. – ISBN 9783031478598. DOI: 10.1007/978-3-031-47859-8_15 Scopus OpenAlex
Dates:
| Published print: | Nov 10, 2023 |
| Published online: | Nov 10, 2023 |
Identifiers:
| Scopus: | 2-s2.0-85177210221 |
| OpenAlex: | W4388522868 |