The Hessian Riemannian flow and Newton’s method for effective Hamiltonians and Mather measures
ESAIM: M2AN, 54 6 (2020) 1883-1915
Published online: 2020-09-16
Articles citing this article
The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Cited article:
This article has been cited by the following article(s):
(2025)
https://doi.org/10.2139/ssrn.5240548
Decoding mean field games from population and environment observations by Gaussian processes
Jinyan Guo, Chenchen Mou, Xianjin Yang and Chao ZhouJournal of Computational Physics 508 112978 (2024)
https://doi.org/10.1016/j.jcp.2024.112978
An online interactive physics-informed adversarial network for solving mean field games
Weishi Yin, Zhengxuan Shen, Pinchao Meng and Hongyu LiuEngineering Analysis with Boundary Elements 169 106002 (2024)
https://doi.org/10.1016/j.enganabound.2024.106002
Numerical methods for mean field games based on Gaussian processes and Fourier features
Chenchen Mou, Xianjin Yang and Chao ZhouJournal of Computational Physics 460 111188 (2022)
https://doi.org/10.1016/j.jcp.2022.111188
Particle approximation of one-dimensional Mean-Field-Games with local interactions
Marco Di Francesco, Serikbolsyn Duisembay, Diogo Aguiar Gomes and Ricardo RibeiroDiscrete and Continuous Dynamical Systems 42 (7) 3569 (2022)
https://doi.org/10.3934/dcds.2022025