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mean field modeling

A new topological approach for the mean field modeling of dynamic recrystallization

A new topological approach for the mean field modeling of dynamic recrystallization

... for mean field modeling of DRX Initial microstructures in mean field models are represented by spherical grains, 75 each having a dislocation density ρ i and a grain size R i ...

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Full field and mean field modeling of grain growth in a multiphase material under dry conditions: application to peridotites

Full field and mean field modeling of grain growth in a multiphase material under dry conditions: application to peridotites

... full field framework based on the level-set (LS) approach, which enables to simulate grain growth in a multiphase ...full field model, and then analyse the results of a peridotite-like annealing ...a ...

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Full field and mean field modeling of dynamic and post-dynamic recrystallization in 3D – Application to 304L steel

Full field and mean field modeling of dynamic and post-dynamic recrystallization in 3D – Application to 304L steel

... 1.2.2 Mean field models Several mean field models can be found in the literature to model DRX and ...few mean field models but can be easily extended to any other ...of ...

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Mean Field and the Confined Single Homopolymer

Mean Field and the Confined Single Homopolymer

... the mean density uniformly, as if the floppy chain is simply winding around more under the same ...The mean field v(r) that has been enountered will also have the effect of correlating pair ...

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Mean field games systems of first order

Mean field games systems of first order

... Our second main result concerns the long time average of the solution of the mean field game system. Following standard arguments in control theory, one expects that, as horizon T tends to infinity, the ...

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COMPUTATION OF MEAN FIELD EQUILIBRIA IN ECONOMICS

COMPUTATION OF MEAN FIELD EQUILIBRIA IN ECONOMICS

... 2.6 Some remarks We conclude this section with some observations about the modeling with the "tool" MFG. The MFG seem to be particularly adapted to describe a situation that combines two economical ideas, ...

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Dynamic Programming for Mean-Field Type Control

Dynamic Programming for Mean-Field Type Control

... 5 An Academic Example: Production of an Exhaustible Resource Following [24], we consider a continuum of producers exploiting an oil field. Each producer’s goal is to maximize his profit, knowing the price of oil; ...

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Mean Field Games

Mean Field Games

... “mean field equilibrium”, in the sense of rational anticipations is insured by the fact that the dynamics of the density of players results from the individual optimal ...these mean-field ...

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Dynamic Programming for Mean-field type Control

Dynamic Programming for Mean-field type Control

... probl`emes de jeux `a champs moyen par P.L. Lions (2007). Les r´esultats sont appliqu´es `a un probl`eme d’optimisation de portefeuille et `a un probl`eme de risque syst´emique. 1. Introduction Stochastic control is an ...

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Mean-field limit of generalized Hawkes processes

Mean-field limit of generalized Hawkes processes

... a mean-field interacting neu- ral network (modelled by point processes) was left as an open question in [ 11 ...this mean-field interpretation comes from the specific structure of the vari- ...

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Smooth Curve Extraction by Mean Field Annealing

Smooth Curve Extraction by Mean Field Annealing

... The mean field annealing algorithm is outlined in the Appendix. VI Examples We tested these algorithms over a wide variety of images. Figure 5 and Figure 6 show two such im- ages. These images are ...

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Mean Field Forward-Backward Stochastic Differential Equations

Mean Field Forward-Backward Stochastic Differential Equations

... on mean field games [13, 14, 15], simple forms of Backward Stochastic Differential Equations (BSDEs) of McKean Vlasov type have been introduced and called of mean field ...of mean ...

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Lagrangian discretization of variational mean field games

Lagrangian discretization of variational mean field games

... of mean field games: In Parts 1 to 3 of this paper, we study a lagrangian approximation of the solutions to the mean field game described ...

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Mean Field Games and Applications: Numerical Aspects

Mean Field Games and Applications: Numerical Aspects

... √ 2ν is a function of the state variable x can also be dealt with by finite difference schemes. Remark 2 Deterministic mean field games (i.e. for ν = 0) are also quite meaningful. One may also consider ...

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Mean-field limit of Bose systems: rigorous results

Mean-field limit of Bose systems: rigorous results

... the mean-field model. The mean-field model is not a physical model since there is no reason to believe that the interaction would be multiplied by 1/N in a real sys- ...

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Mean field BSDEs and global dynamic risk measures

Mean field BSDEs and global dynamic risk measures

... order mean field operator in the context of an inho- mogeneous random graph as the average intensity of interactions in the ...classical mean-field models in which nodes’ states depend on the ...

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A mean Field Game approach to technological transition

A mean Field Game approach to technological transition

... A mean Field Game approach to technological transition Imen Ben Tahar · Ren´ e A¨ ıd Abstract We develop a model to assess the diffusion of a new-technology among a population of poten- tial ...a ...

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A reference case for mean field games models

A reference case for mean field games models

... of mean field games From a mathematical point of view, a first class of mean field games, and this class is the purpose of this paper, appeared in a stochastic control ...the mean ...

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Non-homogeneous mean field picture for spin-glasses

Non-homogeneous mean field picture for spin-glasses

... and the cluster approach with strong intracluster couplings and weak intercluster couplings. In this note, we wish to study a class of spin systems, with purely local disorder. For such systems, we perform in section 2, ...

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Brain activity modeling in general anesthesia: Enhancing local mean-field models using a slow adaptive firing rate.

Brain activity modeling in general anesthesia: Enhancing local mean-field models using a slow adaptive firing rate.

... EEG MODELING IN ANESTHESIA To our knowledge, researches conducted by Steyn-Ross et al were the first attempts to explain, using an MF model, why gradual increase of anesthetic concentration produces a sudden ...

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