Zobrazeno 1 - 10
of 92
pro vyhledávání: '"Max-Olivier Hongler"'
Publikováno v:
Entropy, Vol 26, Iss 9, p 727 (2024)
The renowned van der Waals (VDW) state equation quantifies the equilibrium relationship between the pressure P, volume V, and temperature kBT of a real gas. We assign new variable interpretations adapted to the economic context: P→Y, representing p
Externí odkaz:
https://doaj.org/article/2431ac40f2854f04a29c0d60b41d9391
Autor:
Max-Olivier Hongler
Publikováno v:
Fractal and Fractional, Vol 6, Iss 1, p 15 (2021)
In this paper, a dissipative version of the Benjamin–Ono dynamics is shown to faithfully model the collective evolution of swarms of scalar Cauchy stochastic agents obeying a follow-the-leader interaction rule. Due to the Hilbert transform, the swa
Externí odkaz:
https://doaj.org/article/fa2200ea33174f61b14f4a4639b65524
Autor:
Max-Olivier Hongler
Publikováno v:
Symmetry, Vol 13, Iss 1, p 57 (2020)
The concept of ranked order probability distribution unveils natural probabilistic interpretations for the kink waves (and hence the solitons) solving higher order dispersive Burgers’ type PDEs. Thanks to this underlying structure, it is possible t
Externí odkaz:
https://doaj.org/article/1cdf027623544b0fa0b93ad2d405f975
Autor:
Julio Rodriguez, Max-Olivier Hongler
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 2, Iss 2 (2009)
We study the dynamics of a network consisting of N diffusively coupled, stable-limit-cycle oscillators on which individual frequencies are parametrized by ωk , k = 1, . . . , N. We introduce a learning rule which influences the ωk by driving
Externí odkaz:
https://doaj.org/article/528c203a12ac4920afc2364ca85a71b2
Publikováno v:
Entropy, Vol 18, Iss 1, p 27 (2016)
We consider the dynamics of swarms of scalar Brownian agents subject to local imitation mechanisms implemented using mutual rank-based interactions. For appropriate values of the underlying control parameters, the swarm propagates tightly and the dis
Externí odkaz:
https://doaj.org/article/f9f177d58b8b40ab946dceac2b97be4d
Autor:
Max-Olivier Hongler, Julio Rodriguez
Publikováno v:
Yves Rocard ISBN: 9791037029355
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e495bbb8f324bfd41ffcf765f100426f
https://doi.org/10.3917/herm.ginou.2023.01.0129
https://doi.org/10.3917/herm.ginou.2023.01.0129
Autor:
Max-Olivier Hongler
Publikováno v:
Journal of Dynamics & Games. 7:1-20
The collective behaviour of stochastic multi-agents swarms driven by Gaussian and non-Gaussian environments is analytically discussed in a mean-field approach. We first exogenously implement long range mutual interactions rules with strengths that ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dfbd80fe679b0dcb14fcdd326f06f163
https://doi.org/10.3934/jdg.2020001
https://doi.org/10.3934/jdg.2020001
Publikováno v:
Journal of Mathematical Economics. 86:69-82
We extend the celebrated Rothschild and Stiglitz (1970) definition of Mean-Preserving Spreads to a dynamic framework. We adapt the original integral conditions to transition probability densities, and give sufficient conditions for their satisfaction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10eb128ad994f93e971ce6b81597833b
https://doi.org/10.1016/j.jmateco.2018.11.003
https://doi.org/10.1016/j.jmateco.2018.11.003
Autor:
Julio Rodriguez, Max-Olivier Hongler
Publikováno v:
13th Chaotic Modeling and Simulation International Conference ISBN: 9783030707941
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::447c42d7cf907657a4e257edd8eb7432
https://doi.org/10.1007/978-3-030-70795-8_50
https://doi.org/10.1007/978-3-030-70795-8_50
Autor:
Roger Filliger, Max-Olivier Hongler
Publikováno v:
Methodology and Computing in Applied Probability. 21:753-764
We study some linear and nonlinear shot noise models where the jumps are drawn from a compound Poisson process with jump sizes following an Erlang-$m$ distribution. We show that the associated Master equation can be written as a spatial $m^{{\rm th}}
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::703a37d3b6f965d03d9a89d1a8af8d69
https://doi.org/10.1007/s11009-017-9566-3
https://doi.org/10.1007/s11009-017-9566-3