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pro vyhledávání: '"MANH HONG DUONG"'
Publikováno v:
SIAM Journal on Mathematical Analysis. 54:4495-4535
Publikováno v:
Communications in Mathematical Sciences. 20:1613-1636
We propose a reduction scheme for a system constituted by two coupled harmonically-bound Brownian oscillators. We reduce the description by constructing a lower dimensional model which inherits some of the basic features of the original dynamics and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90e1c33fc4a7e27451e49dfdad8e9267
http://arxiv.org/abs/2209.13481
http://arxiv.org/abs/2209.13481
Autor:
Manh Hong Duong, The Anh Han
Publikováno v:
The 2022 Conference on Artificial Life.
Akademický článek
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Autor:
Bangti Jin, Manh Hong Duong
Publikováno v:
Communications in Mathematical Sciences. 18:1949-1975
In this work, we investigate a variational formulation for a time-fractional Fokker-Planck equation which arises in the study of complex physical systems involving anomalously slow diffusion. The model involves a fractional-order Caputo derivative in
Autor:
Manh Hong Duong, The Anh Han
Publikováno v:
Dynamic Games and Applications. 10:641-663
In this paper, we study the number of equilibria of the replicator–mutator dynamics for both deterministic and random multi-player two-strategy evolutionary games. For deterministic games, using Descartes’ rule of signs, we provide a formula to c
Autor:
Julian Tugaut, Manh Hong Duong
Publikováno v:
Stochastics. 92:900-943
In this paper, we study a two-species model in the form of a coupled system of nonlinear stochastic differential equations (SDEs) that arises from a variety of applications such as aggregation of b...
Publikováno v:
Journal of Applied Probability. 56:870-890
In this paper, we obtain an asymptotic formula for the persistence probability in the positive real line of a random polynomial arising from evolutionary game theory. It corresponds to the probability that a multi-player two-strategy random evolution
Autor:
Manh Hong Duong, Xiaocheng Shang
Publikováno v:
Journal of Computational Physics. 464:111332
We study numerical methods for the generalized Langevin equation (GLE) with a positive Prony series memory kernel, in which case the GLE can be written in an extended variable Markovian formalism. We propose a new splitting method that is easy to imp