| Autor: |
Mauro Passacantando, Fabio Raciti |
| Přispěvatelé: |
Daras, NJ, Rassias, TM, Passacantando, M, Raciti, F |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Approximation and Computation in Science and Engineering ISBN: 9783030841218 |
| Popis: |
We consider a class of games played on networks in which the utility 4 functions consist of both deterministic and random terms. In order to find the Nash 5 equilibrium of the game we formulate the problem as a variational inequality in a 6 probabilisticLebesguespacewhichissolvednumericallytoprovideapproximations 7 for the mean value of the random equilibrium. We also numerically compare the 8 solution thus obtained, with the solution computed by solving the deterministic 9 variational inequality derived by taking the expectation of the pseudo-gradient of 10 the game with respect to the random parameters. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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