School on Uncertainty Quantification for Hyperbolic Equations and Related Topics
April 24-28, 2017
GSSI Gran Sasso Science Institute, L’Aquila, Italy
The school aims at introducing researchers, especially graduate students and postdocs, to the state of the art in uncertainty quantification for hyperbolic equations and related topics, like kinetic equations. The format of the school consists of three short courses by leading experts in the field and various invited talks.
Download here the Book of Abstracts.
- Bruno Després (University of Paris VI, France): Uncertainty propagation in transport equations and kinetic polynomials Abstract
- Shi Jin (University of Madison, Wisconsin, USA): Stochastic asymptotic-preserving methods for multiscale kinetic and quantum transport with uncertainties Abstract
- Daniele Venturi (University of California Santa Cruz, USA): Kinetic methods for uncertainty propagation in SODEs and SPDEs: from data-driven approximations to functional differential equations Abstract
- Andreas Barth (University of Stuttgart, Germany): Approximation of stochastic partial differential equations driven by Lévy fields Abstract
- Manuel J. Castro (University of Málaga, Spain): Uncertainty quantification in sediment transport shallow flows Abstract
- Jingwei Hu (Purdue University, USA): Stochastic Galerkin methods for the Boltzmann equation with uncertainty Abstract
- Gaël Poëtte (CEA, France): From uncertain systems of conservation laws to playing with orthonormal basis Abstract
- Mattia Zanella (Politecnico di Torino, Italy): Structure preserving methods for mean-field equations with random inputs Abstract
Pierangelo Marcati (University of L’Aquila, GSSI, Italy)
Lorenzo Pareschi (University of Ferrara, Italy)
Giovanni Russo (University of Catania, Italy)