While macroscopic traffic flow models consider traffic as a fluid,
micro...
A novel numerical scheme to solve coupled systems of conservation laws i...
Traffic flow on networks requires knowledge on the behavior across traff...
We consider control strategies for large-scale interacting agent systems...
We propose a novel scheme to numerically solve scalar conservation laws ...
We propose novel less diffusive schemes for conservative one- and
two-di...
Among the class of nonlinear particle filtering methods, the Ensemble Ka...
A multiresolution analysis for solving stochastic conservation laws is
p...
We are interested in ensemble methods to solve multi-objective optimizat...
To enable safe operations in applications such as rocket combustion cham...
Neuroscience models commonly have a high number of degrees of freedom an...
We present a novel approach to determine the evolution of level sets und...
We consider kinetic vehicular traffic flow models of BGK type. Consideri...
We propose a novel framework for model-order reduction of hyperbolic
dif...
We investigate the propagation of uncertainties in the Aw-Rascle-Zhang m...
In this paper, we study input-to-state stability (ISS) of an equilibrium...
In this article we survey recent progress on mathematical results on gas...
We are interested in the development of an algorithmic differentiation
f...
The ensemble Kalman filter belongs to the class of iterative particle
fi...
We are interested in numerical schemes for the simulation of large scale...
This paper deals with the Aw-Rascle-Zhang model for traffic flow on
uni-...
The heterogeneous microstructure in metallic components results in local...
The Ensemble Kalman Filter method can be used as an iterative particle
n...
We consider mean-field models for data--clustering problems starting fro...